Merge #3821

3821: Add normalized and detailed scores to documents returned by a query r=dureuill a=dureuill

# Pull Request

## Related issue
Fixes #3771 

## What does this PR do?

### User standpoint

<details>
<summary>Request ranking score</summary>

```
echo '{ 
  "q": "Badman dark knight returns",
  "showRankingScore": true, 
  "limit": 10,
  "attributesToRetrieve": ["title"]
}' | mieli search -i index-word-count-10-count
```

</details>


<details>
<summary>Response</summary>

```json
{
  "hits": [
    {
      "title": "Batman: The Dark Knight Returns, Part 1",
      "_rankingScore": 0.947520325203252
    },
    {
      "title": "Batman: The Dark Knight Returns, Part 2",
      "_rankingScore": 0.947520325203252
    },
    {
      "title": "Batman Unmasked: The Psychology of the Dark Knight",
      "_rankingScore": 0.6657594086021505
    },
    {
      "title": "Legends of the Dark Knight: The History of Batman",
      "_rankingScore": 0.6654905913978495
    },
    {
      "title": "Angel and the Badman",
      "_rankingScore": 0.2196969696969697
    },
    {
      "title": "Angel and the Badman",
      "_rankingScore": 0.2196969696969697
    },
    {
      "title": "Batman",
      "_rankingScore": 0.11553030303030302
    },
    {
      "title": "Batman Begins",
      "_rankingScore": 0.11553030303030302
    },
    {
      "title": "Batman Returns",
      "_rankingScore": 0.11553030303030302
    },
    {
      "title": "Batman Forever",
      "_rankingScore": 0.11553030303030302
    }
  ],
  "query": "Badman dark knight returns",
  "processingTimeMs": 12,
  "limit": 10,
  "offset": 0,
  "estimatedTotalHits": 46
}
```

</details>



- If adding a `showRankingScore` parameter to the search query, then documents returned by a search now contain an additional field `_rankingScore` that is a float bigger than 0 and lower or equal to 1.0. This field represents the relevancy of the document, relatively to the search query and the settings of the index, with 1.0 meaning "perfect match" and 0 meaning "not matching the query" (Meilisearch should never return documents not matching the query at all). 
  - The `sort` and `geosort` ranking rules do not influence the `_rankingScore`.

<details>
<summary>Request detailed ranking scores</summary>

```
echo '{ 
  "q": "Badman dark knight returns",
  "showRankingScoreDetails": true, 
  "limit": 5, 
  "attributesToRetrieve": ["title"]
}' | mieli search -i index-word-count-10-count
```

</details>

<details>
<summary>Response</summary>

```json
{
  "hits": [
    {
      "title": "Batman: The Dark Knight Returns, Part 1",
      "_rankingScoreDetails": {
        "words": {
          "order": 0,
          "matchingWords": 4,
          "maxMatchingWords": 4,
          "score": 1.0
        },
        "typo": {
          "order": 1,
          "typoCount": 1,
          "maxTypoCount": 4,
          "score": 0.8
        },
        "proximity": {
          "order": 2,
          "score": 0.9545454545454546
        },
        "attribute": {
          "order": 3,
          "attributes_ranking_order": 1.0,
          "attributes_query_word_order": 0.926829268292683,
          "score": 0.926829268292683
        },
        "exactness": {
          "order": 4,
          "matchType": "noExactMatch",
          "score": 0.26666666666666666
        }
      }
    },
    {
      "title": "Batman: The Dark Knight Returns, Part 2",
      "_rankingScoreDetails": {
        "words": {
          "order": 0,
          "matchingWords": 4,
          "maxMatchingWords": 4,
          "score": 1.0
        },
        "typo": {
          "order": 1,
          "typoCount": 1,
          "maxTypoCount": 4,
          "score": 0.8
        },
        "proximity": {
          "order": 2,
          "score": 0.9545454545454546
        },
        "attribute": {
          "order": 3,
          "attributes_ranking_order": 1.0,
          "attributes_query_word_order": 0.926829268292683,
          "score": 0.926829268292683
        },
        "exactness": {
          "order": 4,
          "matchType": "noExactMatch",
          "score": 0.26666666666666666
        }
      }
    },
    {
      "title": "Batman Unmasked: The Psychology of the Dark Knight",
      "_rankingScoreDetails": {
        "words": {
          "order": 0,
          "matchingWords": 3,
          "maxMatchingWords": 4,
          "score": 0.75
        },
        "typo": {
          "order": 1,
          "typoCount": 1,
          "maxTypoCount": 3,
          "score": 0.75
        },
        "proximity": {
          "order": 2,
          "score": 0.6666666666666666
        },
        "attribute": {
          "order": 3,
          "attributes_ranking_order": 1.0,
          "attributes_query_word_order": 0.8064516129032258,
          "score": 0.8064516129032258
        },
        "exactness": {
          "order": 4,
          "matchType": "noExactMatch",
          "score": 0.25
        }
      }
    },
    {
      "title": "Legends of the Dark Knight: The History of Batman",
      "_rankingScoreDetails": {
        "words": {
          "order": 0,
          "matchingWords": 3,
          "maxMatchingWords": 4,
          "score": 0.75
        },
        "typo": {
          "order": 1,
          "typoCount": 1,
          "maxTypoCount": 3,
          "score": 0.75
        },
        "proximity": {
          "order": 2,
          "score": 0.6666666666666666
        },
        "attribute": {
          "order": 3,
          "attributes_ranking_order": 1.0,
          "attributes_query_word_order": 0.7419354838709677,
          "score": 0.7419354838709677
        },
        "exactness": {
          "order": 4,
          "matchType": "noExactMatch",
          "score": 0.25
        }
      }
    },
    {
      "title": "Angel and the Badman",
      "_rankingScoreDetails": {
        "words": {
          "order": 0,
          "matchingWords": 1,
          "maxMatchingWords": 4,
          "score": 0.25
        },
        "typo": {
          "order": 1,
          "typoCount": 0,
          "maxTypoCount": 1,
          "score": 1.0
        },
        "proximity": {
          "order": 2,
          "score": 1.0
        },
        "attribute": {
          "order": 3,
          "attributes_ranking_order": 1.0,
          "attributes_query_word_order": 0.8181818181818182,
          "score": 0.8181818181818182
        },
        "exactness": {
          "order": 4,
          "matchType": "noExactMatch",
          "score": 0.3333333333333333
        }
      }
    }
  ],
  "query": "Badman dark knight returns",
  "processingTimeMs": 9,
  "limit": 5,
  "offset": 0,
  "estimatedTotalHits": 46
}
```

</details>

- If adding a `showRankingScoreDetails` parameter to the search query, then the returned documents will now contain an additional `_rankingScoreDetails` field that is a JSON object containing one field per ranking rule that was applied, whose value is a JSON object with the following fields:
  - `order`: a number indicating the order this rule was applied (0 is the first applied ranking rule)
  - `score` (except for `sort` and `geosort`): a float indicating how the document matched this particular rule.
  - other fields that are specific to the rule, indicating for example how many words matched for a document and how many typos were counted in a matching document.
- If the `displayableAttributes` list is defined in the settings of the index, any ranking rule using an attribute **not** part of that list will be marked as `<hidden-rule>` in the `_rankingScoreDetails`.  

- Search queries that are part of a `multi-search` requests are modified in the same way and each of the queries can take the `showRankingScore` and `showRankingScoreDetails` parameters independently. The results are still returned in separate lists and providing a unified list of results between multiple queries is not in the scope of this PR (but is unblocked by this PR and can be done manually by using the scores of the various documents). 

### Implementation standpoint

- Fix difference in how the position of terms were computed at indexing time and query time: this difference meant that a query containing a hard separator would fail the exactness check.
- Fix the id reported by the sort ranking rule (very minor)
- Change how the cost of removing words is computed. After this change the cost no longer works for any other ranking rule than `words`. Also made `words` have a cost of 0 such that the entire cost of `words` is given by the termRemovalStrategy. The new cost computation makes it so the score is computed in a way consistent with the number of words in the query. Additionally, the words that appear in phrases in the query are also counted as matching words.
- When any score computation is requested through `showRankingScore` or `showRankingScoreDetails`, remove optimization where ranking rules are not executed on buckets of a single document: this is important to allow the computation of an accurate score.
- add virtual conditions to fid and position to always have the max cost: this ensures that the score is independent from the dataset
- the Position ranking rule now takes into account the distance to the position of the word in the query instead of the distance to the position 0.
- modified proximity ranking rule cost calculation so that the cost is 0 for documents that are perfectly matching the query
- Add a new `milli::score_details` module containing all the types that are involved in score computation.
- Make it so a bucket of result now contains a `ScoreDetails` and changed the ranking rules to produce their `ScoreDetails`.
- Expose the scores in the REST API.
- Add very light analytics for scoring.
- Update the search tests to add the expected scores.

Co-authored-by: Louis Dureuil <louis@meilisearch.com>

meilisearch-types/src/error.rs

@@ -240,6 +240,8 @@ InvalidSearchOffset                   , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchPage                     , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchQ                        , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchShowMatchesPosition      , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchShowRankingScore         , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchShowRankingScoreDetails  , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchSort                     , InvalidRequest       , BAD_REQUEST ;
 InvalidSettingsDisplayedAttributes    , InvalidRequest       , BAD_REQUEST ;
 InvalidSettingsDistinctAttribute      , InvalidRequest       , BAD_REQUEST ;

meilisearch/src/analytics/segment_analytics.rs

@@ -569,6 +569,10 @@ pub struct SearchAggregator {
     // facets
     facets_sum_of_terms: usize,
     facets_total_number_of_facets: usize,
+
+    // scoring
+    show_ranking_score: bool,
+    show_ranking_score_details: bool,
 }
 
 impl SearchAggregator {
@@ -632,6 +636,9 @@ impl SearchAggregator {
         ret.crop_length = query.crop_length != DEFAULT_CROP_LENGTH();
         ret.show_matches_position = query.show_matches_position;
 
+        ret.show_ranking_score = query.show_ranking_score;
+        ret.show_ranking_score_details = query.show_ranking_score_details;
+
         ret
     }
 
@@ -706,6 +713,10 @@ impl SearchAggregator {
             let matching_strategy = self.matching_strategy.entry(key).or_insert(0);
             *matching_strategy = matching_strategy.saturating_add(value);
         }
+
+        // scoring
+        self.show_ranking_score |= other.show_ranking_score;
+        self.show_ranking_score_details |= other.show_ranking_score_details;
     }
 
     pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
@@ -760,7 +771,11 @@ impl SearchAggregator {
                 },
                 "matching_strategy": {
                     "most_used_strategy": self.matching_strategy.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
-                }
+                },
+                "scoring": {
+                    "show_ranking_score": self.show_ranking_score,
+                    "show_ranking_score_details": self.show_ranking_score_details,
+                },
             });
 
             Some(Track {

meilisearch/src/routes/indexes/search.rs

@@ -56,6 +56,10 @@ pub struct SearchQueryGet {
     sort: Option<String>,
     #[deserr(default, error = DeserrQueryParamError<InvalidSearchShowMatchesPosition>)]
     show_matches_position: Param<bool>,
+    #[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScore>)]
+    show_ranking_score: Param<bool>,
+    #[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScoreDetails>)]
+    show_ranking_score_details: Param<bool>,
     #[deserr(default, error = DeserrQueryParamError<InvalidSearchFacets>)]
     facets: Option<CS<String>>,
     #[deserr( default = DEFAULT_HIGHLIGHT_PRE_TAG(), error = DeserrQueryParamError<InvalidSearchHighlightPreTag>)]
@@ -91,6 +95,8 @@ impl From<SearchQueryGet> for SearchQuery {
             filter,
             sort: other.sort.map(|attr| fix_sort_query_parameters(&attr)),
             show_matches_position: other.show_matches_position.0,
+            show_ranking_score: other.show_ranking_score.0,
+            show_ranking_score_details: other.show_ranking_score_details.0,
             facets: other.facets.map(|o| o.into_iter().collect()),
             highlight_pre_tag: other.highlight_pre_tag,
             highlight_post_tag: other.highlight_post_tag,

meilisearch/src/search.rs

@@ -9,6 +9,7 @@ use meilisearch_auth::IndexSearchRules;
 use meilisearch_types::deserr::DeserrJsonError;
 use meilisearch_types::error::deserr_codes::*;
 use meilisearch_types::index_uid::IndexUid;
+use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
 use meilisearch_types::settings::DEFAULT_PAGINATION_MAX_TOTAL_HITS;
 use meilisearch_types::{milli, Document};
 use milli::tokenizer::TokenizerBuilder;
@@ -54,6 +55,10 @@ pub struct SearchQuery {
     pub attributes_to_highlight: Option<HashSet<String>>,
     #[deserr(default, error = DeserrJsonError<InvalidSearchShowMatchesPosition>, default)]
     pub show_matches_position: bool,
+    #[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScore>, default)]
+    pub show_ranking_score: bool,
+    #[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
+    pub show_ranking_score_details: bool,
     #[deserr(default, error = DeserrJsonError<InvalidSearchFilter>)]
     pub filter: Option<Value>,
     #[deserr(default, error = DeserrJsonError<InvalidSearchSort>)]
@@ -103,6 +108,10 @@ pub struct SearchQueryWithIndex {
     pub crop_length: usize,
     #[deserr(default, error = DeserrJsonError<InvalidSearchAttributesToHighlight>)]
     pub attributes_to_highlight: Option<HashSet<String>>,
+    #[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScore>, default)]
+    pub show_ranking_score: bool,
+    #[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
+    pub show_ranking_score_details: bool,
     #[deserr(default, error = DeserrJsonError<InvalidSearchShowMatchesPosition>, default)]
     pub show_matches_position: bool,
     #[deserr(default, error = DeserrJsonError<InvalidSearchFilter>)]
@@ -134,6 +143,8 @@ impl SearchQueryWithIndex {
             attributes_to_crop,
             crop_length,
             attributes_to_highlight,
+            show_ranking_score,
+            show_ranking_score_details,
             show_matches_position,
             filter,
             sort,
@@ -155,6 +166,8 @@ impl SearchQueryWithIndex {
                 attributes_to_crop,
                 crop_length,
                 attributes_to_highlight,
+                show_ranking_score,
+                show_ranking_score_details,
                 show_matches_position,
                 filter,
                 sort,
@@ -194,7 +207,7 @@ impl From<MatchingStrategy> for TermsMatchingStrategy {
     }
 }
 
-#[derive(Debug, Clone, Serialize, PartialEq, Eq)]
+#[derive(Debug, Clone, Serialize, PartialEq)]
 pub struct SearchHit {
     #[serde(flatten)]
     pub document: Document,
@@ -202,6 +215,10 @@ pub struct SearchHit {
     pub formatted: Document,
     #[serde(rename = "_matchesPosition", skip_serializing_if = "Option::is_none")]
     pub matches_position: Option<MatchesPosition>,
+    #[serde(rename = "_rankingScore", skip_serializing_if = "Option::is_none")]
+    pub ranking_score: Option<f64>,
+    #[serde(rename = "_rankingScoreDetails", skip_serializing_if = "Option::is_none")]
+    pub ranking_score_details: Option<serde_json::Map<String, serde_json::Value>>,
 }
 
 #[derive(Serialize, Debug, Clone, PartialEq)]
@@ -283,6 +300,11 @@ pub fn perform_search(
         .unwrap_or(DEFAULT_PAGINATION_MAX_TOTAL_HITS);
 
     search.exhaustive_number_hits(is_finite_pagination);
+    search.scoring_strategy(if query.show_ranking_score || query.show_ranking_score_details {
+        ScoringStrategy::Detailed
+    } else {
+        ScoringStrategy::Skip
+    });
 
     // compute the offset on the limit depending on the pagination mode.
     let (offset, limit) = if is_finite_pagination {
@@ -320,7 +342,8 @@ pub fn perform_search(
         search.sort_criteria(sort);
     }
 
-    let milli::SearchResult { documents_ids, matching_words, candidates, .. } = search.execute()?;
+    let milli::SearchResult { documents_ids, matching_words, candidates, document_scores, .. } =
+        search.execute()?;
 
     let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
 
@@ -392,7 +415,7 @@ pub fn perform_search(
 
     let documents_iter = index.documents(&rtxn, documents_ids)?;
 
-    for (_id, obkv) in documents_iter {
+    for ((_id, obkv), score) in documents_iter.into_iter().zip(document_scores.into_iter()) {
         // First generate a document with all the displayed fields
         let displayed_document = make_document(&displayed_ids, &fields_ids_map, obkv)?;
 
@@ -416,7 +439,18 @@ pub fn perform_search(
             insert_geo_distance(sort, &mut document);
         }
 
-        let hit = SearchHit { document, formatted, matches_position };
+        let ranking_score =
+            query.show_ranking_score.then(|| ScoreDetails::global_score(score.iter()));
+        let ranking_score_details =
+            query.show_ranking_score_details.then(|| ScoreDetails::to_json_map(score.iter()));
+
+        let hit = SearchHit {
+            document,
+            formatted,
+            matches_position,
+            ranking_score_details,
+            ranking_score,
+        };
         documents.push(hit);
     }
 

meilisearch/tests/search/formatted.rs

@@ -1,3 +1,4 @@
+use insta::{allow_duplicates, assert_json_snapshot};
 use serde_json::json;
 
 use super::*;
@@ -18,30 +19,43 @@ async fn formatted_contain_wildcard() {
         |response, code|
         {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+              assert_json_snapshot!(response["hits"][0],
-                json!({
+                    { "._rankingScore" => "[score]" },
-                    "_formatted": {
+                    @r###"
-                        "id": "852",
+              {
-                        "cattos": "<em>pésti</em>",
+                "_formatted": {
-                    },
+                  "id": "852",
-                    "_matchesPosition": {"cattos": [{"start": 0, "length": 5}]},
+                  "cattos": "<em>pésti</em>"
-                })
+                },
-            );
+                "_matchesPosition": {
-        }
+                  "cattos": [
+                    {
+                      "start": 0,
+                      "length": 5
+                    }
+                  ]
+                }
+              }
+              "###);
+            }
+    }
     )
     .await;
 
     index
         .search(json!({ "q": "pésti", "attributesToRetrieve": ["*"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                    "cattos": "pésti",
+                {
-                })
+                  "id": 852,
-            );
+                  "cattos": "pésti"
+                }
+                "###)
+            }
         })
         .await;
 
@@ -50,20 +64,29 @@ async fn formatted_contain_wildcard() {
             json!({ "q": "pésti", "attributesToRetrieve": ["*"], "attributesToHighlight": ["id"], "showMatchesPosition": true }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                  assert_json_snapshot!(response["hits"][0],
-                    json!({
+                 { "._rankingScore" => "[score]" },
-                        "id": 852,
+                 @r###"
-                        "cattos": "pésti",
+                  {
-                        "_formatted": {
+                    "id": 852,
-                            "id": "852",
+                    "cattos": "pésti",
-                            "cattos": "pésti",
+                    "_formatted": {
-                        },
+                      "id": "852",
-                        "_matchesPosition": {"cattos": [{"start": 0, "length": 5}]},
+                      "cattos": "pésti"
-                    })
+                    },
-                );
+                    "_matchesPosition": {
-            }
+                      "cattos": [
-        )
+                        {
+                          "start": 0,
+                          "length": 5
+                        }
+                      ]
+                    }
+                  }
+                  "###)
+             }
+        })
         .await;
 
     index
@@ -71,17 +94,20 @@ async fn formatted_contain_wildcard() {
             json!({ "q": "pésti", "attributesToRetrieve": ["*"], "attributesToCrop": ["*"] }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "id": 852,
+                    @r###"
-                        "cattos": "pésti",
+                    {
-                        "_formatted": {
+                      "id": 852,
-                            "id": "852",
+                      "cattos": "pésti",
-                            "cattos": "pésti",
+                      "_formatted": {
-                        }
+                        "id": "852",
-                    })
+                        "cattos": "pésti"
-                );
+                      }
+                    }
+                    "###);
+                }
             },
         )
         .await;
@@ -89,17 +115,20 @@ async fn formatted_contain_wildcard() {
     index
         .search(json!({ "q": "pésti", "attributesToCrop": ["*"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                    "cattos": "pésti",
+                {
-                    "_formatted": {
+                  "id": 852,
-                        "id": "852",
+                  "cattos": "pésti",
-                        "cattos": "pésti",
+                  "_formatted": {
-                    }
+                    "id": "852",
-                })
+                    "cattos": "pésti"
-            );
+                  }
+                }
+                "###)
+            }
         })
         .await;
 }
@@ -116,21 +145,24 @@ async fn format_nested() {
     index
         .search(json!({ "q": "pésti", "attributesToRetrieve": ["doggos"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "doggos": [
+                @r###"
-                        {
+                {
-                            "name": "bobby",
+                  "doggos": [
-                            "age": 2,
+                    {
-                        },
+                      "name": "bobby",
-                        {
+                      "age": 2
-                            "name": "buddy",
+                    },
-                            "age": 4,
+                    {
-                        },
+                      "name": "buddy",
-                    ],
+                      "age": 4
-                })
+                    }
-            );
+                  ]
+                }
+                "###)
+            }
         })
         .await;
 
@@ -139,19 +171,22 @@ async fn format_nested() {
             json!({ "q": "pésti", "attributesToRetrieve": ["doggos.name"] }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "doggos": [
+                    @r###"
-                            {
+                    {
-                                "name": "bobby",
+                      "doggos": [
-                            },
+                        {
-                            {
+                          "name": "bobby"
-                                "name": "buddy",
+                        },
-                            },
+                        {
-                        ],
+                          "name": "buddy"
-                    })
+                        }
-                );
+                      ]
+                    }
+                    "###)
+                }
             },
         )
         .await;
@@ -161,20 +196,30 @@ async fn format_nested() {
             json!({ "q": "bobby", "attributesToRetrieve": ["doggos.name"], "showMatchesPosition": true }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "doggos": [
+                    @r###"
-                            {
+                    {
-                                "name": "bobby",
+                      "doggos": [
-                            },
+                        {
-                            {
+                          "name": "bobby"
-                                "name": "buddy",
+                        },
-                            },
+                        {
-                        ],
+                          "name": "buddy"
-                        "_matchesPosition": {"doggos.name": [{"start": 0, "length": 5}]},
+                        }
-                    })
+                      ],
-                );
+                      "_matchesPosition": {
+                        "doggos.name": [
+                          {
+                            "start": 0,
+                            "length": 5
+                          }
+                        ]
+                      }
+                    }
+                    "###)
+                }
             }
         )
         .await;
@@ -183,21 +228,24 @@ async fn format_nested() {
         .search(json!({ "q": "pésti", "attributesToRetrieve": [], "attributesToHighlight": ["doggos.name"] }),
         |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "_formatted": {
+                @r###"
-                        "doggos": [
+                {
-                            {
+                  "_formatted": {
-                                "name": "bobby",
+                    "doggos": [
-                            },
+                      {
-                            {
+                        "name": "bobby"
-                                "name": "buddy",
+                      },
-                            },
+                      {
-                        ],
+                        "name": "buddy"
-                    },
+                      }
-                })
+                    ]
-            );
+                  }
+                }
+                "###)
+            }
         })
         .await;
 
@@ -205,21 +253,24 @@ async fn format_nested() {
         .search(json!({ "q": "pésti", "attributesToRetrieve": [], "attributesToCrop": ["doggos.name"] }),
         |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "_formatted": {
+                @r###"
-                        "doggos": [
+                {
-                            {
+                  "_formatted": {
-                                "name": "bobby",
+                    "doggos": [
-                            },
+                      {
-                            {
+                        "name": "bobby"
-                                "name": "buddy",
+                      },
-                            },
+                      {
-                        ],
+                        "name": "buddy"
-                    },
+                      }
-                })
+                    ]
-            );
+                  }
+                }
+                "###)
+            }
         })
         .await;
 
@@ -227,55 +278,61 @@ async fn format_nested() {
         .search(json!({ "q": "pésti", "attributesToRetrieve": ["doggos.name"], "attributesToHighlight": ["doggos.age"] }),
         |response, code| {
     assert_eq!(code, 200, "{}", response);
-    assert_eq!(
+    allow_duplicates! {
-        response["hits"][0],
+        assert_json_snapshot!(response["hits"][0],
-        json!({
+        { "._rankingScore" => "[score]" },
-            "doggos": [
+        @r###"
-                {
+        {
-                    "name": "bobby",
+          "doggos": [
-                },
+            {
-                {
+              "name": "bobby"
-                    "name": "buddy",
-                },
-            ],
-            "_formatted": {
-                "doggos": [
-                    {
-                        "name": "bobby",
-                        "age": "2",
-                    },
-                    {
-                        "name": "buddy",
-                        "age": "4",
-                    },
-                ],
             },
-        })
+            {
-    );
+              "name": "buddy"
-        })
+            }
+          ],
+          "_formatted": {
+            "doggos": [
+              {
+                "name": "bobby",
+                "age": "2"
+              },
+              {
+                "name": "buddy",
+                "age": "4"
+              }
+            ]
+          }
+        }
+        "###)
+    }
+    })
         .await;
 
     index
         .search(json!({ "q": "pésti", "attributesToRetrieve": [], "attributesToHighlight": ["doggos.age"], "attributesToCrop": ["doggos.name"] }),
         |response, code| {
                 assert_eq!(code, 200, "{}", response);
-    assert_eq!(
+                allow_duplicates! {
-        response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-        json!({
+                    { "._rankingScore" => "[score]" },
-            "_formatted": {
+                    @r###"
-                "doggos": [
                     {
-                        "name": "bobby",
+                      "_formatted": {
-                        "age": "2",
+                        "doggos": [
-                    },
+                          {
-                    {
+                            "name": "bobby",
-                        "name": "buddy",
+                            "age": "2"
-                        "age": "4",
+                          },
-                    },
+                          {
-                ],
+                            "name": "buddy",
-            },
+                            "age": "4"
-        })
+                          }
-    );
+                        ]
+                      }
+                    }
+                    "###)
+                }
             }
         )
         .await;
@@ -297,54 +354,66 @@ async fn displayedattr_2_smol() {
         .search(json!({ "attributesToRetrieve": ["father", "id"], "attributesToHighlight": ["mother"], "attributesToCrop": ["cattos"] }),
         |response, code| {
     assert_eq!(code, 200, "{}", response);
-    assert_eq!(
+    allow_duplicates! {
-        response["hits"][0],
+        assert_json_snapshot!(response["hits"][0],
-        json!({
+        { "._rankingScore" => "[score]" },
-            "id": 852,
+        @r###"
-        })
+        {
-    );
+          "id": 852
+        }
+        "###)
+    }
         })
         .await;
 
     index
         .search(json!({ "attributesToRetrieve": ["id"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                })
+                {
-            );
+                  "id": 852
+                }
+                "###)
+            }
         })
         .await;
 
     index
         .search(json!({ "attributesToHighlight": ["id"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                    "_formatted": {
+                {
-                        "id": "852",
+                  "id": 852,
-                    }
+                  "_formatted": {
-                })
+                    "id": "852"
-            );
+                  }
+                }
+                "###)
+            }
         })
         .await;
 
     index
         .search(json!({ "attributesToCrop": ["id"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                    "_formatted": {
+                {
-                        "id": "852",
+                  "id": 852,
-                    }
+                  "_formatted": {
-                })
+                    "id": "852"
-            );
+                  }
+                }
+                "###)
+            }
         })
         .await;
 
@@ -353,15 +422,18 @@ async fn displayedattr_2_smol() {
             json!({ "attributesToHighlight": ["id"], "attributesToCrop": ["id"] }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "id": 852,
+                    @r###"
-                        "_formatted": {
+                    {
-                            "id": "852",
+                      "id": 852,
-                        }
+                      "_formatted": {
-                    })
+                        "id": "852"
-                );
+                      }
+                    }
+                    "###)
+                }
             },
         )
         .await;
@@ -369,31 +441,41 @@ async fn displayedattr_2_smol() {
     index
         .search(json!({ "attributesToHighlight": ["cattos"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                })
+                {
-            );
+                  "id": 852
+                }
+                "###)
+            }
         })
         .await;
 
     index
         .search(json!({ "attributesToCrop": ["cattos"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(
+            allow_duplicates! {
-                response["hits"][0],
+                assert_json_snapshot!(response["hits"][0],
-                json!({
+                { "._rankingScore" => "[score]" },
-                    "id": 852,
+                @r###"
-                })
+                {
-            );
+                  "id": 852
+                }
+                "###)
+            }
         })
         .await;
 
     index
         .search(json!({ "attributesToRetrieve": ["cattos"] }), |response, code| {
             assert_eq!(code, 200, "{}", response);
-            assert_eq!(response["hits"][0], json!({}));
+            allow_duplicates! {
+                assert_json_snapshot!(response["hits"][0],
+                { "._rankingScore" => "[score]" },
+                @"{}")
+            }
         })
         .await;
 
@@ -402,7 +484,11 @@ async fn displayedattr_2_smol() {
             json!({ "attributesToRetrieve": ["cattos"], "attributesToHighlight": ["cattos"], "attributesToCrop": ["cattos"] }),
             |response, code| {
     assert_eq!(code, 200, "{}", response);
-    assert_eq!(response["hits"][0], json!({}));
+    allow_duplicates! {
+        assert_json_snapshot!(response["hits"][0],
+        { "._rankingScore" => "[score]" },
+        @"{}")
+    }
 
             }
         )
@@ -413,14 +499,17 @@ async fn displayedattr_2_smol() {
             json!({ "attributesToRetrieve": ["cattos"], "attributesToHighlight": ["id"] }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "_formatted": {
+                    @r###"
-                            "id": "852",
+                    {
-                        }
+                      "_formatted": {
-                    })
+                        "id": "852"
-                );
+                      }
+                    }
+                    "###)
+                }
             },
         )
         .await;
@@ -430,14 +519,17 @@ async fn displayedattr_2_smol() {
             json!({ "attributesToRetrieve": ["cattos"], "attributesToCrop": ["id"] }),
             |response, code| {
                 assert_eq!(code, 200, "{}", response);
-                assert_eq!(
+                allow_duplicates! {
-                    response["hits"][0],
+                    assert_json_snapshot!(response["hits"][0],
-                    json!({
+                    { "._rankingScore" => "[score]" },
-                        "_formatted": {
+                    @r###"
-                            "id": "852",
+                    {
-                        }
+                      "_formatted": {
-                    })
+                        "id": "852"
-                );
+                      }
+                    }
+                    "###)
+                }
             },
         )
         .await;

meilisearch/tests/search/multi.rs

@@ -65,7 +65,7 @@ async fn simple_search_single_index() {
         ]}))
         .await;
     snapshot!(code, @"200 OK");
-    insta::assert_json_snapshot!(response["results"], { "[].processingTimeMs" => "[time]" }, @r###"
+    insta::assert_json_snapshot!(response["results"], { "[].processingTimeMs" => "[time]", ".**._rankingScore" => "[score]" }, @r###"
     [
       {
         "indexUid": "test",
@@ -170,7 +170,7 @@ async fn simple_search_two_indexes() {
         ]}))
         .await;
     snapshot!(code, @"200 OK");
-    insta::assert_json_snapshot!(response["results"], { "[].processingTimeMs" => "[time]" }, @r###"
+    insta::assert_json_snapshot!(response["results"], { "[].processingTimeMs" => "[time]", ".**._rankingScore" => "[score]" }, @r###"
     [
       {
         "indexUid": "test",

milli/examples/search.rs

@@ -53,6 +53,7 @@ fn main() -> Result<(), Box<dyn Error>> {
                 &mut ctx,
                 &(!query.trim().is_empty()).then(|| query.trim().to_owned()),
                 TermsMatchingStrategy::Last,
+                milli::score_details::ScoringStrategy::Skip,
                 false,
                 &None,
                 &None,

milli/src/index.rs

@@ -2488,8 +2488,12 @@ pub(crate) mod tests {
 
         let rtxn = index.read_txn().unwrap();
         let search = Search::new(&rtxn, &index);
-        let SearchResult { matching_words: _, candidates: _, mut documents_ids } =
+        let SearchResult {
-            search.execute().unwrap();
+            matching_words: _,
+            candidates: _,
+            document_scores: _,
+            mut documents_ids,
+        } = search.execute().unwrap();
         let primary_key_id = index.fields_ids_map(&rtxn).unwrap().id("primary_key").unwrap();
         documents_ids.sort_unstable();
         let docs = index.documents(&rtxn, documents_ids).unwrap();

milli/src/lib.rs

@@ -17,6 +17,7 @@ mod fields_ids_map;
 pub mod heed_codec;
 pub mod index;
 pub mod proximity;
+pub mod score_details;
 mod search;
 pub mod update;
 

milli/src/score_details.rs

@@ -0,0 +1,314 @@
+use serde::Serialize;
+
+use crate::distance_between_two_points;
+
+#[derive(Debug, Clone, PartialEq)]
+pub enum ScoreDetails {
+    Words(Words),
+    Typo(Typo),
+    Proximity(Rank),
+    Fid(Rank),
+    Position(Rank),
+    ExactAttribute(ExactAttribute),
+    Exactness(Rank),
+    Sort(Sort),
+    GeoSort(GeoSort),
+}
+
+impl ScoreDetails {
+    pub fn local_score(&self) -> Option<f64> {
+        self.rank().map(Rank::local_score)
+    }
+
+    pub fn rank(&self) -> Option<Rank> {
+        match self {
+            ScoreDetails::Words(details) => Some(details.rank()),
+            ScoreDetails::Typo(details) => Some(details.rank()),
+            ScoreDetails::Proximity(details) => Some(*details),
+            ScoreDetails::Fid(details) => Some(*details),
+            ScoreDetails::Position(details) => Some(*details),
+            ScoreDetails::ExactAttribute(details) => Some(details.rank()),
+            ScoreDetails::Exactness(details) => Some(*details),
+            ScoreDetails::Sort(_) => None,
+            ScoreDetails::GeoSort(_) => None,
+        }
+    }
+
+    pub fn global_score<'a>(details: impl Iterator<Item = &'a Self>) -> f64 {
+        Rank::global_score(details.filter_map(Self::rank))
+    }
+
+    /// Panics
+    ///
+    /// - If Position is not preceded by Fid
+    /// - If Exactness is not preceded by ExactAttribute
+    pub fn to_json_map<'a>(
+        details: impl Iterator<Item = &'a Self>,
+    ) -> serde_json::Map<String, serde_json::Value> {
+        let mut order = 0;
+        let mut fid_details = None;
+        let mut details_map = serde_json::Map::default();
+        for details in details {
+            match details {
+                ScoreDetails::Words(words) => {
+                    let words_details = serde_json::json!({
+                            "order": order,
+                            "matchingWords": words.matching_words,
+                            "maxMatchingWords": words.max_matching_words,
+                            "score": words.rank().local_score(),
+                    });
+                    details_map.insert("words".into(), words_details);
+                    order += 1;
+                }
+                ScoreDetails::Typo(typo) => {
+                    let typo_details = serde_json::json!({
+                        "order": order,
+                        "typoCount": typo.typo_count,
+                        "maxTypoCount": typo.max_typo_count,
+                        "score": typo.rank().local_score(),
+                    });
+                    details_map.insert("typo".into(), typo_details);
+                    order += 1;
+                }
+                ScoreDetails::Proximity(proximity) => {
+                    let proximity_details = serde_json::json!({
+                        "order": order,
+                        "score": proximity.local_score(),
+                    });
+                    details_map.insert("proximity".into(), proximity_details);
+                    order += 1;
+                }
+                ScoreDetails::Fid(fid) => {
+                    // copy the rank for future use in Position.
+                    fid_details = Some(*fid);
+                    // For now, fid is a virtual rule always followed by the "position" rule
+                    let fid_details = serde_json::json!({
+                        "order": order,
+                        "attribute_ranking_order_score": fid.local_score(),
+                    });
+                    details_map.insert("attribute".into(), fid_details);
+                    order += 1;
+                }
+                ScoreDetails::Position(position) => {
+                    // For now, position is a virtual rule always preceded by the "fid" rule
+                    let attribute_details = details_map
+                        .get_mut("attribute")
+                        .expect("position not preceded by attribute");
+                    let attribute_details = attribute_details
+                        .as_object_mut()
+                        .expect("attribute details was not an object");
+                    let Some(fid_details) = fid_details
+                    else {
+                        unimplemented!("position not preceded by attribute");
+                    };
+
+                    attribute_details
+                        .insert("query_word_distance_score".into(), position.local_score().into());
+                    let score = Rank::global_score([fid_details, *position].iter().copied());
+                    attribute_details.insert("score".into(), score.into());
+
+                    // do not update the order since this was already done by fid
+                }
+                ScoreDetails::ExactAttribute(exact_attribute) => {
+                    let exactness_details = serde_json::json!({
+                        "order": order,
+                        "matchType": exact_attribute,
+                        "score": exact_attribute.rank().local_score(),
+                    });
+                    details_map.insert("exactness".into(), exactness_details);
+                    order += 1;
+                }
+                ScoreDetails::Exactness(details) => {
+                    // For now, exactness is a virtual rule always preceded by the "ExactAttribute" rule
+                    let exactness_details = details_map
+                        .get_mut("exactness")
+                        .expect("Exactness not preceded by exactAttribute");
+                    let exactness_details = exactness_details
+                        .as_object_mut()
+                        .expect("exactness details was not an object");
+                    if exactness_details.get("matchType").expect("missing 'matchType'")
+                        == &serde_json::json!(ExactAttribute::NoExactMatch)
+                    {
+                        let score = Rank::global_score(
+                            [ExactAttribute::NoExactMatch.rank(), *details].iter().copied(),
+                        );
+                        *exactness_details.get_mut("score").expect("missing score") = score.into();
+                    }
+                    // do not update the order since this was already done by exactAttribute
+                }
+                ScoreDetails::Sort(details) => {
+                    let sort = if details.redacted {
+                        format!("<hidden-rule-{order}>")
+                    } else {
+                        format!(
+                            "{}:{}",
+                            details.field_name,
+                            if details.ascending { "asc" } else { "desc" }
+                        )
+                    };
+                    let value =
+                        if details.redacted { "<hidden>".into() } else { details.value.clone() };
+                    let sort_details = serde_json::json!({
+                        "order": order,
+                        "value": value,
+                    });
+                    details_map.insert(sort, sort_details);
+                    order += 1;
+                }
+                ScoreDetails::GeoSort(details) => {
+                    let sort = format!(
+                        "_geoPoint({}, {}):{}",
+                        details.target_point[0],
+                        details.target_point[1],
+                        if details.ascending { "asc" } else { "desc" }
+                    );
+                    let point = if let Some(value) = details.value {
+                        serde_json::json!({ "lat": value[0], "lng": value[1]})
+                    } else {
+                        serde_json::Value::Null
+                    };
+                    let sort_details = serde_json::json!({
+                        "order": order,
+                        "value": point,
+                        "distance": details.distance(),
+                    });
+                    details_map.insert(sort, sort_details);
+                    order += 1;
+                }
+            }
+        }
+        details_map
+    }
+}
+
+/// The strategy to compute scores.
+///
+/// It makes sense to pass down this strategy to the internals of the search, because
+/// some optimizations (today, mainly skipping ranking rules for universes of a single document)
+/// are not correct to do when computing the scores.
+///
+/// This strategy could feasibly be extended to differentiate between the normalized score and the
+/// detailed scores, but it is not useful today as the normalized score is *derived from* the
+/// detailed scores.
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
+pub enum ScoringStrategy {
+    /// Don't compute scores
+    #[default]
+    Skip,
+    /// Compute detailed scores
+    Detailed,
+}
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
+pub struct Words {
+    pub matching_words: u32,
+    pub max_matching_words: u32,
+}
+
+impl Words {
+    pub fn rank(&self) -> Rank {
+        Rank { rank: self.matching_words, max_rank: self.max_matching_words }
+    }
+
+    pub(crate) fn from_rank(rank: Rank) -> Words {
+        Words { matching_words: rank.rank, max_matching_words: rank.max_rank }
+    }
+}
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
+pub struct Typo {
+    pub typo_count: u32,
+    pub max_typo_count: u32,
+}
+
+impl Typo {
+    pub fn rank(&self) -> Rank {
+        Rank {
+            rank: self.max_typo_count - self.typo_count + 1,
+            max_rank: (self.max_typo_count + 1),
+        }
+    }
+
+    // max_rank = max_typo + 1
+    // max_typo = max_rank - 1
+    //
+    // rank = max_typo - typo + 1
+    // rank = max_rank - 1 - typo + 1
+    // rank + typo = max_rank
+    // typo = max_rank - rank
+    pub fn from_rank(rank: Rank) -> Typo {
+        Typo { typo_count: rank.max_rank - rank.rank, max_typo_count: rank.max_rank - 1 }
+    }
+}
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
+pub struct Rank {
+    /// The ordinal rank, such that `max_rank` is the first rank, and 0 is the last rank.
+    ///
+    /// The higher the better. Documents with a rank of 0 have a score of 0 and are typically never returned
+    /// (they don't match the query).
+    pub rank: u32,
+    /// The maximum possible rank. Documents with this rank have a score of 1.
+    ///
+    /// The max rank should not be 0.
+    pub max_rank: u32,
+}
+
+impl Rank {
+    pub fn local_score(self) -> f64 {
+        self.rank as f64 / self.max_rank as f64
+    }
+
+    pub fn global_score(details: impl Iterator<Item = Self>) -> f64 {
+        let mut rank = Rank { rank: 1, max_rank: 1 };
+        for inner_rank in details {
+            rank.rank -= 1;
+
+            rank.rank *= inner_rank.max_rank;
+            rank.max_rank *= inner_rank.max_rank;
+
+            rank.rank += inner_rank.rank;
+        }
+        rank.local_score()
+    }
+}
+
+#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize)]
+#[serde(rename_all = "camelCase")]
+pub enum ExactAttribute {
+    ExactMatch,
+    MatchesStart,
+    NoExactMatch,
+}
+
+impl ExactAttribute {
+    pub fn rank(&self) -> Rank {
+        let rank = match self {
+            ExactAttribute::ExactMatch => 3,
+            ExactAttribute::MatchesStart => 2,
+            ExactAttribute::NoExactMatch => 1,
+        };
+        Rank { rank, max_rank: 3 }
+    }
+}
+
+#[derive(Debug, Clone, PartialEq)]
+pub struct Sort {
+    pub field_name: String,
+    pub ascending: bool,
+    pub redacted: bool,
+    pub value: serde_json::Value,
+}
+
+#[derive(Debug, Clone, Copy, PartialEq, PartialOrd)]
+pub struct GeoSort {
+    pub target_point: [f64; 2],
+    pub ascending: bool,
+    pub value: Option<[f64; 2]>,
+}
+
+impl GeoSort {
+    pub fn distance(&self) -> Option<f64> {
+        self.value.map(|value| distance_between_two_points(&self.target_point, &value))
+    }
+}

milli/src/search/mod.rs

@@ -7,6 +7,7 @@ use roaring::bitmap::RoaringBitmap;
 pub use self::facet::{FacetDistribution, Filter, DEFAULT_VALUES_PER_FACET};
 pub use self::new::matches::{FormatOptions, MatchBounds, Matcher, MatcherBuilder, MatchingWords};
 use self::new::PartialSearchResult;
+use crate::score_details::{ScoreDetails, ScoringStrategy};
 use crate::{
     execute_search, AscDesc, DefaultSearchLogger, DocumentId, Index, Result, SearchContext,
 };
@@ -29,6 +30,7 @@ pub struct Search<'a> {
     sort_criteria: Option<Vec<AscDesc>>,
     geo_strategy: new::GeoSortStrategy,
     terms_matching_strategy: TermsMatchingStrategy,
+    scoring_strategy: ScoringStrategy,
     words_limit: usize,
     exhaustive_number_hits: bool,
     rtxn: &'a heed::RoTxn<'a>,
@@ -45,6 +47,7 @@ impl<'a> Search<'a> {
             sort_criteria: None,
             geo_strategy: new::GeoSortStrategy::default(),
             terms_matching_strategy: TermsMatchingStrategy::default(),
+            scoring_strategy: Default::default(),
             exhaustive_number_hits: false,
             words_limit: 10,
             rtxn,
@@ -77,6 +80,11 @@ impl<'a> Search<'a> {
         self
     }
 
+    pub fn scoring_strategy(&mut self, value: ScoringStrategy) -> &mut Search<'a> {
+        self.scoring_strategy = value;
+        self
+    }
+
     pub fn words_limit(&mut self, value: usize) -> &mut Search<'a> {
         self.words_limit = value;
         self
@@ -93,7 +101,7 @@ impl<'a> Search<'a> {
         self
     }
 
-    /// Force the search to exhastivelly compute the number of candidates,
+    /// Forces the search to exhaustively compute the number of candidates,
     /// this will increase the search time but allows finite pagination.
     pub fn exhaustive_number_hits(&mut self, exhaustive_number_hits: bool) -> &mut Search<'a> {
         self.exhaustive_number_hits = exhaustive_number_hits;
@@ -102,11 +110,12 @@ impl<'a> Search<'a> {
 
     pub fn execute(&self) -> Result<SearchResult> {
         let mut ctx = SearchContext::new(self.index, self.rtxn);
-        let PartialSearchResult { located_query_terms, candidates, documents_ids } =
+        let PartialSearchResult { located_query_terms, candidates, documents_ids, document_scores } =
             execute_search(
                 &mut ctx,
                 &self.query,
                 self.terms_matching_strategy,
+                self.scoring_strategy,
                 self.exhaustive_number_hits,
                 &self.filter,
                 &self.sort_criteria,
@@ -124,7 +133,7 @@ impl<'a> Search<'a> {
             None => MatchingWords::default(),
         };
 
-        Ok(SearchResult { matching_words, candidates, documents_ids })
+        Ok(SearchResult { matching_words, candidates, document_scores, documents_ids })
     }
 }
 
@@ -138,6 +147,7 @@ impl fmt::Debug for Search<'_> {
             sort_criteria,
             geo_strategy: _,
             terms_matching_strategy,
+            scoring_strategy,
             words_limit,
             exhaustive_number_hits,
             rtxn: _,
@@ -150,6 +160,7 @@ impl fmt::Debug for Search<'_> {
             .field("limit", limit)
             .field("sort_criteria", sort_criteria)
             .field("terms_matching_strategy", terms_matching_strategy)
+            .field("scoring_strategy", scoring_strategy)
             .field("exhaustive_number_hits", exhaustive_number_hits)
             .field("words_limit", words_limit)
             .finish()
@@ -160,8 +171,8 @@ impl fmt::Debug for Search<'_> {
 pub struct SearchResult {
     pub matching_words: MatchingWords,
     pub candidates: RoaringBitmap,
-    // TODO those documents ids should be associated with their criteria scores.
     pub documents_ids: Vec<DocumentId>,
+    pub document_scores: Vec<Vec<ScoreDetails>>,
 }
 
 #[derive(Debug, Clone, Copy, PartialEq, Eq)]

milli/src/search/new/bucket_sort.rs

@@ -3,14 +3,18 @@ use roaring::RoaringBitmap;
 use super::logger::SearchLogger;
 use super::ranking_rules::{BoxRankingRule, RankingRuleQueryTrait};
 use super::SearchContext;
+use crate::score_details::{ScoreDetails, ScoringStrategy};
 use crate::search::new::distinct::{apply_distinct_rule, distinct_single_docid, DistinctOutput};
 use crate::Result;
 
 pub struct BucketSortOutput {
     pub docids: Vec<u32>,
+    pub scores: Vec<Vec<ScoreDetails>>,
     pub all_candidates: RoaringBitmap,
 }
 
+// TODO: would probably be good to regroup some of these inside of a struct?
+#[allow(clippy::too_many_arguments)]
 pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
     ctx: &mut SearchContext<'ctx>,
     mut ranking_rules: Vec<BoxRankingRule<'ctx, Q>>,
@@ -18,6 +22,7 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
     universe: &RoaringBitmap,
     from: usize,
     length: usize,
+    scoring_strategy: ScoringStrategy,
     logger: &mut dyn SearchLogger<Q>,
 ) -> Result<BucketSortOutput> {
     logger.initial_query(query);
@@ -31,7 +36,11 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
     };
 
     if universe.len() < from as u64 {
-        return Ok(BucketSortOutput { docids: vec![], all_candidates: universe.clone() });
+        return Ok(BucketSortOutput {
+            docids: vec![],
+            scores: vec![],
+            all_candidates: universe.clone(),
+        });
     }
     if ranking_rules.is_empty() {
         if let Some(distinct_fid) = distinct_fid {
@@ -49,22 +58,32 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
             }
             let mut all_candidates = universe - excluded;
             all_candidates.extend(results.iter().copied());
-            return Ok(BucketSortOutput { docids: results, all_candidates });
+            return Ok(BucketSortOutput {
+                scores: vec![Default::default(); results.len()],
+                docids: results,
+                all_candidates,
+            });
         } else {
-            let docids = universe.iter().skip(from).take(length).collect();
+            let docids: Vec<u32> = universe.iter().skip(from).take(length).collect();
-            return Ok(BucketSortOutput { docids, all_candidates: universe.clone() });
+            return Ok(BucketSortOutput {
+                scores: vec![Default::default(); docids.len()],
+                docids,
+                all_candidates: universe.clone(),
+            });
         };
     }
 
     let ranking_rules_len = ranking_rules.len();
 
     logger.start_iteration_ranking_rule(0, ranking_rules[0].as_ref(), query, universe);
+
     ranking_rules[0].start_iteration(ctx, logger, universe, query)?;
 
+    let mut ranking_rule_scores: Vec<ScoreDetails> = vec![];
+
     let mut ranking_rule_universes: Vec<RoaringBitmap> =
         vec![RoaringBitmap::default(); ranking_rules_len];
     ranking_rule_universes[0] = universe.clone();
-
     let mut cur_ranking_rule_index = 0;
 
     /// Finish iterating over the current ranking rule, yielding
@@ -89,11 +108,15 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
             } else {
                 cur_ranking_rule_index -= 1;
             }
+            if ranking_rule_scores.len() > cur_ranking_rule_index {
+                ranking_rule_scores.pop();
+            }
         };
     }
 
     let mut all_candidates = universe.clone();
     let mut valid_docids = vec![];
+    let mut valid_scores = vec![];
     let mut cur_offset = 0usize;
 
     macro_rules! maybe_add_to_results {
@@ -104,21 +127,26 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
                 length,
                 logger,
                 &mut valid_docids,
+                &mut valid_scores,
                 &mut all_candidates,
                 &mut ranking_rule_universes,
                 &mut ranking_rules,
                 cur_ranking_rule_index,
                 &mut cur_offset,
                 distinct_fid,
+                &ranking_rule_scores,
                 $candidates,
             )?;
         };
     }
 
     while valid_docids.len() < length {
-        // The universe for this bucket is zero or one element, so we don't need to sort
+        // The universe for this bucket is zero, so we don't need to sort
-        // anything, just extend the results and go back to the parent ranking rule.
+        // anything, just go back to the parent ranking rule.
-        if ranking_rule_universes[cur_ranking_rule_index].len() <= 1 {
+        if ranking_rule_universes[cur_ranking_rule_index].is_empty()
+            || (scoring_strategy == ScoringStrategy::Skip
+                && ranking_rule_universes[cur_ranking_rule_index].len() == 1)
+        {
             let bucket = std::mem::take(&mut ranking_rule_universes[cur_ranking_rule_index]);
             maybe_add_to_results!(bucket);
             back!();
@@ -130,6 +158,8 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
             continue;
         };
 
+        ranking_rule_scores.push(next_bucket.score);
+
         logger.next_bucket_ranking_rule(
             cur_ranking_rule_index,
             ranking_rules[cur_ranking_rule_index].as_ref(),
@@ -143,10 +173,11 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
         ranking_rule_universes[cur_ranking_rule_index] -= &next_bucket.candidates;
 
         if cur_ranking_rule_index == ranking_rules_len - 1
-            || next_bucket.candidates.len() <= 1
+            || (scoring_strategy == ScoringStrategy::Skip && next_bucket.candidates.len() <= 1)
             || cur_offset + (next_bucket.candidates.len() as usize) < from
         {
             maybe_add_to_results!(next_bucket.candidates);
+            ranking_rule_scores.pop();
             continue;
         }
 
@@ -166,7 +197,7 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
         )?;
     }
 
-    Ok(BucketSortOutput { docids: valid_docids, all_candidates })
+    Ok(BucketSortOutput { docids: valid_docids, scores: valid_scores, all_candidates })
 }
 
 /// Add the candidates to the results. Take `distinct`, `from`, `length`, and `cur_offset`
@@ -179,14 +210,18 @@ fn maybe_add_to_results<'ctx, Q: RankingRuleQueryTrait>(
     logger: &mut dyn SearchLogger<Q>,
 
     valid_docids: &mut Vec<u32>,
+    valid_scores: &mut Vec<Vec<ScoreDetails>>,
     all_candidates: &mut RoaringBitmap,
 
     ranking_rule_universes: &mut [RoaringBitmap],
     ranking_rules: &mut [BoxRankingRule<'ctx, Q>],
+
     cur_ranking_rule_index: usize,
 
     cur_offset: &mut usize,
+
     distinct_fid: Option<u16>,
+    ranking_rule_scores: &[ScoreDetails],
     candidates: RoaringBitmap,
 ) -> Result<()> {
     // First apply the distinct rule on the candidates, reducing the universes if necessary
@@ -231,13 +266,17 @@ fn maybe_add_to_results<'ctx, Q: RankingRuleQueryTrait>(
             let candidates =
                 candidates.iter().take(length - valid_docids.len()).copied().collect::<Vec<_>>();
             logger.add_to_results(&candidates);
-            valid_docids.extend(&candidates);
+            valid_docids.extend_from_slice(&candidates);
+            valid_scores
+                .extend(std::iter::repeat(ranking_rule_scores.to_owned()).take(candidates.len()));
         }
     } else {
         // if we have passed the offset already, add some of the documents (up to the limit)
         let candidates = candidates.iter().take(length - valid_docids.len()).collect::<Vec<u32>>();
         logger.add_to_results(&candidates);
-        valid_docids.extend(&candidates);
+        valid_docids.extend_from_slice(&candidates);
+        valid_scores
+            .extend(std::iter::repeat(ranking_rule_scores.to_owned()).take(candidates.len()));
     }
 
     *cur_offset += candidates.len() as usize;

milli/src/search/new/exact_attribute.rs

@@ -2,6 +2,7 @@ use roaring::{MultiOps, RoaringBitmap};
 
 use super::query_graph::QueryGraph;
 use super::ranking_rules::{RankingRule, RankingRuleOutput};
+use crate::score_details::{self, ScoreDetails};
 use crate::search::new::query_graph::QueryNodeData;
 use crate::search::new::query_term::ExactTerm;
 use crate::{Result, SearchContext, SearchLogger};
@@ -244,7 +245,13 @@ impl State {
                 candidates &= universe;
                 (
                     State::AttributeStarts(query_graph.clone(), candidates_per_attribute),
-                    Some(RankingRuleOutput { query: query_graph, candidates }),
+                    Some(RankingRuleOutput {
+                        query: query_graph,
+                        candidates,
+                        score: ScoreDetails::ExactAttribute(
+                            score_details::ExactAttribute::ExactMatch,
+                        ),
+                    }),
                 )
             }
             State::AttributeStarts(query_graph, candidates_per_attribute) => {
@@ -257,12 +264,24 @@ impl State {
                 candidates &= universe;
                 (
                     State::Empty(query_graph.clone()),
-                    Some(RankingRuleOutput { query: query_graph, candidates }),
+                    Some(RankingRuleOutput {
+                        query: query_graph,
+                        candidates,
+                        score: ScoreDetails::ExactAttribute(
+                            score_details::ExactAttribute::MatchesStart,
+                        ),
+                    }),
                 )
             }
             State::Empty(query_graph) => (
                 State::Empty(query_graph.clone()),
-                Some(RankingRuleOutput { query: query_graph, candidates: universe.clone() }),
+                Some(RankingRuleOutput {
+                    query: query_graph,
+                    candidates: universe.clone(),
+                    score: ScoreDetails::ExactAttribute(
+                        score_details::ExactAttribute::NoExactMatch,
+                    ),
+                }),
             ),
         };
         (state, output)

milli/src/search/new/geo_sort.rs

@@ -8,6 +8,7 @@ use rstar::RTree;
 
 use super::ranking_rules::{RankingRule, RankingRuleOutput, RankingRuleQueryTrait};
 use crate::heed_codec::facet::{FieldDocIdFacetCodec, OrderedF64Codec};
+use crate::score_details::{self, ScoreDetails};
 use crate::{
     distance_between_two_points, lat_lng_to_xyz, GeoPoint, Index, Result, SearchContext,
     SearchLogger,
@@ -80,7 +81,7 @@ pub struct GeoSort<Q: RankingRuleQueryTrait> {
     field_ids: Option<[u16; 2]>,
     rtree: Option<RTree<GeoPoint>>,
 
-    cached_sorted_docids: VecDeque<u32>,
+    cached_sorted_docids: VecDeque<(u32, [f64; 2])>,
     geo_candidates: RoaringBitmap,
 }
 
@@ -130,7 +131,7 @@ impl<Q: RankingRuleQueryTrait> GeoSort<Q> {
                 let point = lat_lng_to_xyz(&self.point);
                 for point in rtree.nearest_neighbor_iter(&point) {
                     if self.geo_candidates.contains(point.data.0) {
-                        self.cached_sorted_docids.push_back(point.data.0);
+                        self.cached_sorted_docids.push_back(point.data);
                         if self.cached_sorted_docids.len() >= cache_size {
                             break;
                         }
@@ -142,7 +143,7 @@ impl<Q: RankingRuleQueryTrait> GeoSort<Q> {
                 let point = lat_lng_to_xyz(&opposite_of(self.point));
                 for point in rtree.nearest_neighbor_iter(&point) {
                     if self.geo_candidates.contains(point.data.0) {
-                        self.cached_sorted_docids.push_front(point.data.0);
+                        self.cached_sorted_docids.push_front(point.data);
                         if self.cached_sorted_docids.len() >= cache_size {
                             break;
                         }
@@ -177,7 +178,7 @@ impl<Q: RankingRuleQueryTrait> GeoSort<Q> {
             // computing the distance between two points is expensive thus we cache the result
             documents
                 .sort_by_cached_key(|(_, p)| distance_between_two_points(&self.point, p) as usize);
-            self.cached_sorted_docids.extend(documents.into_iter().map(|(doc_id, _)| doc_id));
+            self.cached_sorted_docids.extend(documents.into_iter());
         };
 
         Ok(())
@@ -220,12 +221,19 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
         logger: &mut dyn SearchLogger<Q>,
         universe: &RoaringBitmap,
     ) -> Result<Option<RankingRuleOutput<Q>>> {
-        assert!(universe.len() > 1);
         let query = self.query.as_ref().unwrap().clone();
         self.geo_candidates &= universe;
 
         if self.geo_candidates.is_empty() {
-            return Ok(Some(RankingRuleOutput { query, candidates: universe.clone() }));
+            return Ok(Some(RankingRuleOutput {
+                query,
+                candidates: universe.clone(),
+                score: ScoreDetails::GeoSort(score_details::GeoSort {
+                    target_point: self.point,
+                    ascending: self.ascending,
+                    value: None,
+                }),
+            }));
         }
 
         let ascending = self.ascending;
@@ -236,11 +244,16 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
                 cache.pop_back()
             }
         };
-        while let Some(id) = next(&mut self.cached_sorted_docids) {
+        while let Some((id, point)) = next(&mut self.cached_sorted_docids) {
             if self.geo_candidates.contains(id) {
                 return Ok(Some(RankingRuleOutput {
                     query,
                     candidates: RoaringBitmap::from_iter([id]),
+                    score: ScoreDetails::GeoSort(score_details::GeoSort {
+                        target_point: self.point,
+                        ascending: self.ascending,
+                        value: Some(point),
+                    }),
                 }));
             }
         }

milli/src/search/new/graph_based_ranking_rule.rs

@@ -50,6 +50,7 @@ use super::ranking_rule_graph::{
 };
 use super::small_bitmap::SmallBitmap;
 use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
+use crate::score_details::Rank;
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::ranking_rule_graph::PathVisitor;
 use crate::{Result, TermsMatchingStrategy};
@@ -118,6 +119,8 @@ pub struct GraphBasedRankingRuleState<G: RankingRuleGraphTrait> {
     all_costs: MappedInterner<QueryNode, Vec<u64>>,
     /// An index in the first element of `all_distances`, giving the cost of the next bucket
     cur_cost: u64,
+    /// One above the highest possible cost for this rule
+    next_max_cost: u64,
 }
 
 impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBasedRankingRule<G> {
@@ -131,7 +134,20 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
         _universe: &RoaringBitmap,
         query_graph: &QueryGraph,
     ) -> Result<()> {
+        // the `next_max_cost` is the successor integer to the maximum cost of the paths in the graph.
+        //
+        // When there is a matching strategy, it also factors the additional costs of:
+        // 1. The words that are matched in phrases
+        // 2. Skipping words (by adding them to the paths with a cost)
+        let mut next_max_cost = 1;
         let removal_cost = if let Some(terms_matching_strategy) = self.terms_matching_strategy {
+            // add the cost of the phrase to the next_max_cost
+            next_max_cost += query_graph
+                .words_in_phrases_count(ctx)
+                // remove 1 from the words in phrases count, because when there is a phrase we can now have a document
+                // where only the phrase is matching, and none of the non-phrase words.
+                // With the `1` that `next_max_cost` is initialized with, this gets counted twice.
+                .saturating_sub(1) as u64;
             match terms_matching_strategy {
                 TermsMatchingStrategy::Last => {
                     let removal_order =
@@ -139,13 +155,12 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
                     let mut forbidden_nodes =
                         SmallBitmap::for_interned_values_in(&query_graph.nodes);
                     let mut costs = query_graph.nodes.map(|_| None);
-                    let mut cost = 100;
+                    // FIXME: this works because only words uses termsmatchingstrategy at the moment.
                     for ns in removal_order {
                         for n in ns.iter() {
-                            *costs.get_mut(n) = Some((cost, forbidden_nodes.clone()));
+                            *costs.get_mut(n) = Some((1, forbidden_nodes.clone()));
                         }
                         forbidden_nodes.union(&ns);
-                        cost += 100;
                     }
                     costs
                 }
@@ -162,12 +177,16 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
         // Then pre-compute the cost of all paths from each node to the end node
         let all_costs = graph.find_all_costs_to_end();
 
+        next_max_cost +=
+            all_costs.get(graph.query_graph.root_node).iter().copied().max().unwrap_or(0);
+
         let state = GraphBasedRankingRuleState {
             graph,
             conditions_cache: condition_docids_cache,
             dead_ends_cache,
             all_costs,
             cur_cost: 0,
+            next_max_cost,
         };
 
         self.state = Some(state);
@@ -181,17 +200,13 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
         logger: &mut dyn SearchLogger<QueryGraph>,
         universe: &RoaringBitmap,
     ) -> Result<Option<RankingRuleOutput<QueryGraph>>> {
-        // If universe.len() <= 1, the bucket sort algorithm
-        // should not have called this function.
-        assert!(universe.len() > 1);
         // Will crash if `next_bucket` is called before `start_iteration` or after `end_iteration`,
         // should never happen
         let mut state = self.state.take().unwrap();
 
+        let all_costs = state.all_costs.get(state.graph.query_graph.root_node);
         // Retrieve the cost of the paths to compute
-        let Some(&cost) = state
+        let Some(&cost) = all_costs
-            .all_costs
-            .get(state.graph.query_graph.root_node)
             .iter()
             .find(|c| **c >= state.cur_cost) else {
                 self.state = None;
@@ -207,8 +222,12 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
             dead_ends_cache,
             all_costs,
             cur_cost: _,
+            next_max_cost,
         } = &mut state;
 
+        let rank = *next_max_cost - cost;
+        let score = G::rank_to_score(Rank { rank: rank as u32, max_rank: *next_max_cost as u32 });
+
         let mut universe = universe.clone();
 
         let mut used_conditions = SmallBitmap::for_interned_values_in(&graph.conditions_interner);
@@ -295,8 +314,6 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
 
         // We modify the next query graph so that it only contains the subgraph
         // that was used to compute this bucket
-        // But we only do it in case the bucket length is >1, because otherwise
-        // we know the child ranking rule won't be called anyway
 
         let paths: Vec<Vec<(Option<LocatedQueryTermSubset>, LocatedQueryTermSubset)>> = good_paths
             .into_iter()
@@ -325,7 +342,7 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
 
         self.state = Some(state);
 
-        Ok(Some(RankingRuleOutput { query: next_query_graph, candidates: bucket }))
+        Ok(Some(RankingRuleOutput { query: next_query_graph, candidates: bucket, score }))
     }
 
     fn end_iteration(

milli/src/search/new/matches/mod.rs

@@ -510,6 +510,7 @@ mod tests {
                 &mut ctx,
                 &Some(query.to_string()),
                 crate::TermsMatchingStrategy::default(),
+                crate::score_details::ScoringStrategy::Skip,
                 false,
                 &None,
                 &None,

milli/src/search/new/mod.rs

@@ -44,6 +44,7 @@ use self::geo_sort::GeoSort;
 pub use self::geo_sort::Strategy as GeoSortStrategy;
 use self::graph_based_ranking_rule::Words;
 use self::interner::Interned;
+use crate::score_details::{ScoreDetails, ScoringStrategy};
 use crate::search::new::distinct::apply_distinct_rule;
 use crate::{AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy, UserError};
 
@@ -350,6 +351,7 @@ pub fn execute_search(
     ctx: &mut SearchContext,
     query: &Option<String>,
     terms_matching_strategy: TermsMatchingStrategy,
+    scoring_strategy: ScoringStrategy,
     exhaustive_number_hits: bool,
     filters: &Option<Filter>,
     sort_criteria: &Option<Vec<AscDesc>>,
@@ -411,7 +413,16 @@ pub fn execute_search(
         universe =
             resolve_universe(ctx, &universe, &graph, terms_matching_strategy, query_graph_logger)?;
 
-        bucket_sort(ctx, ranking_rules, &graph, &universe, from, length, query_graph_logger)?
+        bucket_sort(
+            ctx,
+            ranking_rules,
+            &graph,
+            &universe,
+            from,
+            length,
+            scoring_strategy,
+            query_graph_logger,
+        )?
     } else {
         let ranking_rules =
             get_ranking_rules_for_placeholder_search(ctx, sort_criteria, geo_strategy)?;
@@ -422,17 +433,20 @@ pub fn execute_search(
             &universe,
             from,
             length,
+            scoring_strategy,
             placeholder_search_logger,
         )?
     };
 
-    let BucketSortOutput { docids, mut all_candidates } = bucket_sort_output;
+    let BucketSortOutput { docids, scores, mut all_candidates } = bucket_sort_output;
+
+    let fields_ids_map = ctx.index.fields_ids_map(ctx.txn)?;
 
     // The candidates is the universe unless the exhaustive number of hits
     // is requested and a distinct attribute is set.
     if exhaustive_number_hits {
         if let Some(f) = ctx.index.distinct_field(ctx.txn)? {
-            if let Some(distinct_fid) = ctx.index.fields_ids_map(ctx.txn)?.id(f) {
+            if let Some(distinct_fid) = fields_ids_map.id(f) {
                 all_candidates = apply_distinct_rule(ctx, distinct_fid, &all_candidates)?.remaining;
             }
         }
@@ -440,6 +454,7 @@ pub fn execute_search(
 
     Ok(PartialSearchResult {
         candidates: all_candidates,
+        document_scores: scores,
         documents_ids: docids,
         located_query_terms,
     })
@@ -491,4 +506,5 @@ pub struct PartialSearchResult {
     pub located_query_terms: Option<Vec<LocatedQueryTerm>>,
     pub candidates: RoaringBitmap,
     pub documents_ids: Vec<DocumentId>,
+    pub document_scores: Vec<Vec<ScoreDetails>>,
 }

milli/src/search/new/query_graph.rs

@@ -342,6 +342,25 @@ impl QueryGraph {
         }
         res
     }
+
+    /// Number of words in the phrases in this query graph
+    pub(crate) fn words_in_phrases_count(&self, ctx: &SearchContext) -> usize {
+        let mut word_count = 0;
+        for (_, node) in self.nodes.iter() {
+            match &node.data {
+                QueryNodeData::Term(term) => {
+                    let Some(phrase) = term.term_subset.original_phrase(ctx)
+                    else {
+                        continue
+                    };
+                    let phrase = ctx.phrase_interner.get(phrase);
+                    word_count += phrase.words.iter().copied().filter(|a| a.is_some()).count()
+                }
+                _ => continue,
+            }
+        }
+        word_count
+    }
 }
 
 fn add_node(nodes_data: &mut Vec<QueryNodeData>, node_data: QueryNodeData) -> u16 {

milli/src/search/new/ranking_rule_graph/build.rs

@@ -49,10 +49,15 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
                 if let Some((cost_of_ignoring, forbidden_nodes)) =
                     cost_of_ignoring_node.get(dest_idx)
                 {
+                    let dest = graph_nodes.get(dest_idx);
+                    let dest_size = match &dest.data {
+                        QueryNodeData::Term(term) => term.term_ids.len(),
+                        _ => panic!(),
+                    };
                     let new_edge_id = edges_store.insert(Some(Edge {
                         source_node: source_id,
                         dest_node: dest_idx,
-                        cost: *cost_of_ignoring,
+                        cost: *cost_of_ignoring * dest_size as u32,
                         condition: None,
                         nodes_to_skip: forbidden_nodes.clone(),
                     }));

milli/src/search/new/ranking_rule_graph/exactness/mod.rs

@@ -1,6 +1,7 @@
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::{ExactTerm, LocatedQueryTermSubset};
 use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
@@ -84,4 +85,8 @@ impl RankingRuleGraphTrait for ExactnessGraph {
 
         Ok(vec![(0, exact_condition), (dest_node.term_ids.len() as u32, skip_condition)])
     }
+
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Exactness(rank)
+    }
 }

milli/src/search/new/ranking_rule_graph/fid/mod.rs

@@ -2,6 +2,7 @@ use fxhash::FxHashSet;
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::resolve_query_graph::compute_query_term_subset_docids_within_field_id;
@@ -68,13 +69,42 @@ impl RankingRuleGraphTrait for FidGraph {
         }
 
         let mut edges = vec![];
-        for fid in all_fields {
+        for fid in all_fields.iter().copied() {
             edges.push((
                 fid as u32 * term.term_ids.len() as u32,
                 conditions_interner.insert(FidCondition { term: term.clone(), fid }),
             ));
         }
 
+        // always lookup the max_fid if we don't already and add an artificial condition for max scoring
+        let max_fid: Option<u16> = {
+            if let Some(max_fid) = ctx
+                .index
+                .searchable_fields_ids(ctx.txn)?
+                .map(|field_ids| field_ids.into_iter().max())
+            {
+                max_fid
+            } else {
+                ctx.index.fields_ids_map(ctx.txn)?.ids().max()
+            }
+        };
+
+        if let Some(max_fid) = max_fid {
+            if !all_fields.contains(&max_fid) {
+                edges.push((
+                    max_fid as u32 * term.term_ids.len() as u32, // TODO improve the fid score i.e. fid^10.
+                    conditions_interner.insert(FidCondition {
+                        term: term.clone(), // TODO remove this ugly clone
+                        fid: max_fid,
+                    }),
+                ));
+            }
+        }
+
         Ok(edges)
     }
+
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Fid(rank)
+    }
 }

milli/src/search/new/ranking_rule_graph/mod.rs

@@ -41,6 +41,7 @@ use super::interner::{DedupInterner, FixedSizeInterner, Interned, MappedInterner
 use super::query_term::LocatedQueryTermSubset;
 use super::small_bitmap::SmallBitmap;
 use super::{QueryGraph, QueryNode, SearchContext};
+use crate::score_details::{Rank, ScoreDetails};
 use crate::Result;
 
 pub struct ComputedCondition {
@@ -110,6 +111,9 @@ pub trait RankingRuleGraphTrait: Sized + 'static {
         source_node: Option<&LocatedQueryTermSubset>,
         dest_node: &LocatedQueryTermSubset,
     ) -> Result<Vec<(u32, Interned<Self::Condition>)>>;
+
+    /// Convert the rank of a path to its corresponding score for the ranking rule
+    fn rank_to_score(rank: Rank) -> ScoreDetails;
 }
 
 /// The graph used by graph-based ranking rules.

milli/src/search/new/ranking_rule_graph/position/mod.rs

@@ -2,6 +2,7 @@ use fxhash::{FxHashMap, FxHashSet};
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::resolve_query_graph::compute_query_term_subset_docids_within_position;
@@ -77,6 +78,8 @@ impl RankingRuleGraphTrait for PositionGraph {
         let mut positions_for_costs = FxHashMap::<u32, Vec<u16>>::default();
 
         for position in all_positions {
+            // FIXME: bucketed position???
+            let distance = position.abs_diff(*term.positions.start());
             let cost = {
                 let mut cost = 0;
                 for i in 0..term.term_ids.len() {
@@ -84,15 +87,17 @@ impl RankingRuleGraphTrait for PositionGraph {
                     // Because if two words are in the same bucketed position (e.g. 32) and consecutive,
                     // then their position cost will be 32+32=64, but an ngram of these two words at the
                     // same position will have a cost of 32+32+1=65
-                    cost += cost_from_position(position as u32 + i as u32);
+                    cost += cost_from_distance(distance as u32 + i as u32);
                 }
                 cost
             };
             positions_for_costs.entry(cost).or_default().push(position);
         }
 
-        let mut edges = vec![];
+        let max_cost = term.term_ids.len() as u32 * 10;
+        let max_cost_exists = positions_for_costs.contains_key(&max_cost);
 
+        let mut edges = vec![];
         for (cost, positions) in positions_for_costs {
             edges.push((
                 cost,
@@ -100,12 +105,25 @@ impl RankingRuleGraphTrait for PositionGraph {
             ));
         }
 
+        if !max_cost_exists {
+            // artificial empty condition for computing max cost
+            edges.push((
+                max_cost,
+                conditions_interner
+                    .insert(PositionCondition { term: term.clone(), positions: Vec::default() }),
+            ));
+        }
+
         Ok(edges)
     }
+
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Position(rank)
+    }
 }
 
-fn cost_from_position(sum_positions: u32) -> u32 {
+fn cost_from_distance(distance: u32) -> u32 {
-    match sum_positions {
+    match distance {
         0 => 0,
         1 => 1,
         2..=4 => 2,

milli/src/search/new/ranking_rule_graph/proximity/build.rs

@@ -12,11 +12,11 @@ pub fn build_edges(
     left_term: Option<&LocatedQueryTermSubset>,
     right_term: &LocatedQueryTermSubset,
 ) -> Result<Vec<(u32, Interned<ProximityCondition>)>> {
-    let right_ngram_length = right_term.term_ids.len();
+    let right_ngram_max = right_term.term_ids.len().saturating_sub(1);
 
     let Some(left_term) = left_term else {
         return Ok(vec![(
-            (right_ngram_length - 1) as u32,
+            right_ngram_max as u32,
             conditions_interner.insert(ProximityCondition::Term { term: right_term.clone() }),
         )])
     };
@@ -29,25 +29,25 @@ pub fn build_edges(
         // The remaining query graph represents `the sun .. are beautiful`
         // but `sun` and `are` have no proximity condition between them
         return Ok(vec![(
-            (right_ngram_length - 1) as u32,
+            right_ngram_max as u32,
             conditions_interner.insert(ProximityCondition::Term { term: right_term.clone() }),
         )]);
     }
 
     let mut conditions = vec![];
-    for cost in right_ngram_length..(7 + right_ngram_length) {
+    for cost in right_ngram_max..(7 + right_ngram_max) {
         conditions.push((
             cost as u32,
             conditions_interner.insert(ProximityCondition::Uninit {
                 left_term: left_term.clone(),
                 right_term: right_term.clone(),
-                cost: cost as u8,
+                cost: (cost + 1) as u8,
             }),
         ))
     }
 
     conditions.push((
-        (7 + right_ngram_length) as u32,
+        (7 + right_ngram_max) as u32,
         conditions_interner.insert(ProximityCondition::Term { term: right_term.clone() }),
     ));
 

milli/src/search/new/ranking_rule_graph/proximity/mod.rs

@@ -4,6 +4,7 @@ pub mod compute_docids;
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::SearchContext;
@@ -36,4 +37,8 @@ impl RankingRuleGraphTrait for ProximityGraph {
     ) -> Result<Vec<(u32, Interned<Self::Condition>)>> {
         build::build_edges(ctx, conditions_interner, source_term, dest_term)
     }
+
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Proximity(rank)
+    }
 }

milli/src/search/new/ranking_rule_graph/typo/mod.rs

@@ -1,6 +1,7 @@
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{self, Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
@@ -75,4 +76,8 @@ impl RankingRuleGraphTrait for TypoGraph {
         }
         Ok(edges)
     }
+
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Typo(score_details::Typo::from_rank(rank))
+    }
 }

milli/src/search/new/ranking_rule_graph/words/mod.rs

@@ -1,6 +1,7 @@
 use roaring::RoaringBitmap;
 
 use super::{ComputedCondition, RankingRuleGraphTrait};
+use crate::score_details::{self, Rank, ScoreDetails};
 use crate::search::new::interner::{DedupInterner, Interned};
 use crate::search::new::query_term::LocatedQueryTermSubset;
 use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
@@ -41,9 +42,10 @@ impl RankingRuleGraphTrait for WordsGraph {
         _from: Option<&LocatedQueryTermSubset>,
         to_term: &LocatedQueryTermSubset,
     ) -> Result<Vec<(u32, Interned<Self::Condition>)>> {
-        Ok(vec![(
+        Ok(vec![(0, conditions_interner.insert(WordsCondition { term: to_term.clone() }))])
-            to_term.term_ids.len() as u32,
+    }
-            conditions_interner.insert(WordsCondition { term: to_term.clone() }),
+
-        )])
+    fn rank_to_score(rank: Rank) -> ScoreDetails {
+        ScoreDetails::Words(score_details::Words::from_rank(rank))
     }
 }

milli/src/search/new/ranking_rules.rs

@@ -2,6 +2,7 @@ use roaring::RoaringBitmap;
 
 use super::logger::SearchLogger;
 use super::{QueryGraph, SearchContext};
+use crate::score_details::ScoreDetails;
 use crate::Result;
 
 /// An internal trait implemented by only [`PlaceholderQuery`] and [`QueryGraph`]
@@ -66,4 +67,6 @@ pub struct RankingRuleOutput<Q> {
     pub query: Q,
     /// The allowed candidates for the child ranking rule
     pub candidates: RoaringBitmap,
+    /// The score for the candidates of the current bucket
+    pub score: ScoreDetails,
 }

milli/src/search/new/sort.rs

@@ -1,9 +1,11 @@
+use heed::BytesDecode;
 use roaring::RoaringBitmap;
 
 use super::logger::SearchLogger;
 use super::{RankingRule, RankingRuleOutput, RankingRuleQueryTrait, SearchContext};
-use crate::heed_codec::facet::FacetGroupKeyCodec;
+use crate::heed_codec::facet::{FacetGroupKeyCodec, OrderedF64Codec};
-use crate::heed_codec::ByteSliceRefCodec;
+use crate::heed_codec::{ByteSliceRefCodec, StrRefCodec};
+use crate::score_details::{self, ScoreDetails};
 use crate::search::facet::{ascending_facet_sort, descending_facet_sort};
 use crate::{FieldId, Index, Result};
 
@@ -49,6 +51,7 @@ pub struct Sort<'ctx, Query> {
     is_ascending: bool,
     original_query: Option<Query>,
     iter: Option<RankingRuleOutputIterWrapper<'ctx, Query>>,
+    must_redact: bool,
 }
 impl<'ctx, Query> Sort<'ctx, Query> {
     pub fn new(
@@ -59,15 +62,30 @@ impl<'ctx, Query> Sort<'ctx, Query> {
     ) -> Result<Self> {
         let fields_ids_map = index.fields_ids_map(rtxn)?;
         let field_id = fields_ids_map.id(&field_name);
+        let must_redact = Self::must_redact(index, rtxn, &field_name)?;
 
-        Ok(Self { field_name, field_id, is_ascending, original_query: None, iter: None })
+        Ok(Self {
+            field_name,
+            field_id,
+            is_ascending,
+            original_query: None,
+            iter: None,
+            must_redact,
+        })
+    }
+
+    fn must_redact(index: &Index, rtxn: &'ctx heed::RoTxn, field_name: &str) -> Result<bool> {
+        let Some(displayed_fields) = index.displayed_fields(rtxn)?
+        else { return Ok(false); };
+
+        Ok(!displayed_fields.iter().any(|&field| field == field_name))
     }
 }
 
 impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx, Query> {
     fn id(&self) -> String {
         let Self { field_name, is_ascending, .. } = self;
-        format!("{field_name}:{}", if *is_ascending { "asc" } else { "desc " })
+        format!("{field_name}:{}", if *is_ascending { "asc" } else { "desc" })
     }
     fn start_iteration(
         &mut self,
@@ -118,12 +136,45 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
 
                     (itertools::Either::Right(number_iter), itertools::Either::Right(string_iter))
                 };
+                let number_iter = number_iter.map(|r| -> Result<_> {
+                    let (docids, bytes) = r?;
+                    Ok((
+                        docids,
+                        serde_json::Value::Number(
+                            serde_json::Number::from_f64(
+                                OrderedF64Codec::bytes_decode(bytes).expect("some number"),
+                            )
+                            .expect("too big float"),
+                        ),
+                    ))
+                });
+                let string_iter = string_iter.map(|r| -> Result<_> {
+                    let (docids, bytes) = r?;
+                    Ok((
+                        docids,
+                        serde_json::Value::String(
+                            StrRefCodec::bytes_decode(bytes).expect("some string").to_owned(),
+                        ),
+                    ))
+                });
 
                 let query_graph = parent_query.clone();
+                let ascending = self.is_ascending;
+                let field_name = self.field_name.clone();
+                let must_redact = self.must_redact;
                 RankingRuleOutputIterWrapper::new(Box::new(number_iter.chain(string_iter).map(
                     move |r| {
-                        let (docids, _) = r?;
+                        let (docids, value) = r?;
-                        Ok(RankingRuleOutput { query: query_graph.clone(), candidates: docids })
+                        Ok(RankingRuleOutput {
+                            query: query_graph.clone(),
+                            candidates: docids,
+                            score: ScoreDetails::Sort(score_details::Sort {
+                                field_name: field_name.clone(),
+                                ascending,
+                                redacted: must_redact,
+                                value,
+                            }),
+                        })
                     },
                 )))
             }
@@ -146,7 +197,16 @@ impl<'ctx, Query: RankingRuleQueryTrait> RankingRule<'ctx, Query> for Sort<'ctx,
             Ok(Some(bucket))
         } else {
             let query = self.original_query.as_ref().unwrap().clone();
-            Ok(Some(RankingRuleOutput { query, candidates: universe.clone() }))
+            Ok(Some(RankingRuleOutput {
+                query,
+                candidates: universe.clone(),
+                score: ScoreDetails::Sort(score_details::Sort {
+                    field_name: self.field_name.clone(),
+                    ascending: self.is_ascending,
+                    redacted: self.must_redact,
+                    value: serde_json::Value::Null,
+                }),
+            }))
         }
     }
 

milli/src/search/new/tests/attribute_fid.rs

@@ -122,8 +122,11 @@ fn test_attribute_fid_simple() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 6, 5, 4, 3, 9, 7, 8, 11, 10, 12, 13, 14, 0]");
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }
 
 #[test]
@@ -135,6 +138,11 @@ fn test_attribute_fid_ngrams() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 6, 5, 4, 3, 9, 7, 8, 11, 10, 12, 13, 14, 0]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }

milli/src/search/new/tests/attribute_position.rs

@@ -137,8 +137,13 @@ fn test_attribute_position_simple() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("quick brown");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }
 #[test]
 fn test_attribute_position_repeated() {
@@ -149,8 +154,13 @@ fn test_attribute_position_repeated() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("a a a a a");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[5, 7, 8, 9, 6]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }
 
 #[test]
@@ -162,8 +172,13 @@ fn test_attribute_position_different_fields() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("quick brown");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }
 
 #[test]
@@ -175,6 +190,11 @@ fn test_attribute_position_ngrams() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("quick brown");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
 }

milli/src/search/new/tests/exactness.rs

@@ -474,8 +474,14 @@ fn test_exactness_simple_ordered() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 7, 6, 5, 4, 3, 2, 1]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -501,8 +507,14 @@ fn test_exactness_simple_reversed() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 3, 4, 5, 6, 7]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -519,8 +531,14 @@ fn test_exactness_simple_reversed() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 3, 4, 5, 6, 7]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -544,8 +562,14 @@ fn test_exactness_simple_random() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[8, 7, 4, 6, 3, 5]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -568,8 +592,14 @@ fn test_exactness_attribute_starts_with_simple() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("this balcony");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -589,8 +619,14 @@ fn test_exactness_attribute_starts_with_phrase() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("\"overlooking the sea\" is a beautiful balcony");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 1]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -604,8 +640,14 @@ fn test_exactness_attribute_starts_with_phrase() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("overlooking the sea is a beautiful balcony");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 3, 1, 7]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
@@ -628,8 +670,14 @@ fn test_exactness_all_candidates_with_typo() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("overlocking the sea is a beautiful balcony");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[4, 5, 6, 1, 7]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     // "overlooking" is returned here because the term matching strategy allows it
     // but it has the worst exactness score (0 exact words)
@@ -659,8 +707,14 @@ fn test_exactness_after_words() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 9, 18, 8, 17, 16, 6, 7, 15, 5, 14, 4, 13, 3, 12, 2, 1, 11]");
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     insta::assert_debug_snapshot!(texts, @r###"
@@ -702,7 +756,13 @@ fn test_words_after_exactness() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 9, 18, 8, 17, 16, 6, 7, 15, 5, 14, 4, 13, 3, 12, 2, 1, 11]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
@@ -745,7 +805,14 @@ fn test_proximity_after_exactness() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
+
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0, 4, 5, 8, 7, 3, 6]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
@@ -776,7 +843,13 @@ fn test_proximity_after_exactness() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("the quick brown fox jumps over the lazy dog");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1, 2]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
@@ -804,7 +877,13 @@ fn test_exactness_followed_by_typo_prefer_no_typo_prefix() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("quick brown fox extra");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0, 4, 3]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
@@ -834,7 +913,13 @@ fn test_typo_followed_by_exactness() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::Last);
     s.query("extraordinarily quick brown fox");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
+
+    let document_ids_scores: Vec<_> =
+        documents_ids.iter().zip(document_scores.into_iter()).collect();
+    insta::assert_snapshot!(format!("{document_ids_scores:#?}"));
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[1, 0, 4, 3]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 

milli/src/search/new/tests/geo_sort.rs

@@ -7,6 +7,7 @@ use heed::RoTxn;
 use maplit::hashset;
 
 use crate::index::tests::TempIndex;
+use crate::score_details::ScoreDetails;
 use crate::search::new::tests::collect_field_values;
 use crate::{AscDesc, Criterion, GeoSortStrategy, Member, Search, SearchResult};
 
@@ -28,30 +29,37 @@ fn execute_iterative_and_rtree_returns_the_same<'a>(
     rtxn: &RoTxn<'a>,
     index: &TempIndex,
     search: &mut Search<'a>,
-) -> Vec<usize> {
+) -> (Vec<usize>, Vec<Vec<ScoreDetails>>) {
     search.geo_sort_strategy(GeoSortStrategy::AlwaysIterative(2));
-    let SearchResult { documents_ids, .. } = search.execute().unwrap();
+    let SearchResult { documents_ids, document_scores: iterative_scores_bucketed, .. } =
+        search.execute().unwrap();
     let iterative_ids_bucketed = collect_field_values(index, rtxn, "id", &documents_ids);
 
     search.geo_sort_strategy(GeoSortStrategy::AlwaysIterative(1000));
-    let SearchResult { documents_ids, .. } = search.execute().unwrap();
+    let SearchResult { documents_ids, document_scores: iterative_scores, .. } =
+        search.execute().unwrap();
     let iterative_ids = collect_field_values(index, rtxn, "id", &documents_ids);
 
     assert_eq!(iterative_ids_bucketed, iterative_ids, "iterative bucket");
+    assert_eq!(iterative_scores_bucketed, iterative_scores, "iterative bucket score");
 
     search.geo_sort_strategy(GeoSortStrategy::AlwaysRtree(2));
-    let SearchResult { documents_ids, .. } = search.execute().unwrap();
+    let SearchResult { documents_ids, document_scores: rtree_scores_bucketed, .. } =
+        search.execute().unwrap();
     let rtree_ids_bucketed = collect_field_values(index, rtxn, "id", &documents_ids);
 
     search.geo_sort_strategy(GeoSortStrategy::AlwaysRtree(1000));
-    let SearchResult { documents_ids, .. } = search.execute().unwrap();
+    let SearchResult { documents_ids, document_scores: rtree_scores, .. } =
+        search.execute().unwrap();
     let rtree_ids = collect_field_values(index, rtxn, "id", &documents_ids);
 
     assert_eq!(rtree_ids_bucketed, rtree_ids, "rtree bucket");
+    assert_eq!(rtree_scores_bucketed, rtree_scores, "rtree bucket score");
 
     assert_eq!(iterative_ids, rtree_ids, "iterative vs rtree");
+    assert_eq!(iterative_scores, rtree_scores, "iterative vs rtree scores");
 
-    iterative_ids.into_iter().map(|id| id.parse().unwrap()).collect()
+    (iterative_ids.into_iter().map(|id| id.parse().unwrap()).collect(), iterative_scores)
 }
 
 #[test]
@@ -73,14 +81,17 @@ fn test_geo_sort() {
     let rtxn = index.read_txn().unwrap();
 
     let mut s = Search::new(&rtxn, &index);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
 
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 1, 2, 3, 4, 5, 6, 8, 7, 10, 9]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([0., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[5, 4, 3, 2, 1, 0, 6, 8, 7, 10, 9]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 }
 
 #[test]
@@ -101,52 +112,63 @@ fn test_geo_sort_around_the_edge_of_the_flat_earth() {
     let rtxn = index.read_txn().unwrap();
 
     let mut s = Search::new(&rtxn, &index);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
 
     // --- asc
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 1, 2, 3, 4]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     // ensuring the lat doesn't wrap around
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([85., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[1, 0, 3, 4, 2]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([-85., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[2, 0, 3, 4, 1]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     // ensuring the lng does wrap around
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., 175.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[3, 4, 2, 1, 0]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., -175.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[4, 3, 2, 1, 0]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     // --- desc
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([0., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[4, 3, 2, 1, 0]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     // ensuring the lat doesn't wrap around
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([85., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[2, 4, 3, 0, 1]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([-85., 0.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[1, 4, 3, 0, 2]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     // ensuring the lng does wrap around
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([0., 175.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 1, 2, 4, 3]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.sort_criteria(vec![AscDesc::Desc(Member::Geo([0., -175.]))]);
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 1, 2, 3, 4]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 }
 
 #[test]
@@ -166,19 +188,98 @@ fn geo_sort_mixed_with_words() {
     let rtxn = index.read_txn().unwrap();
 
     let mut s = Search::new(&rtxn, &index);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., 0.]))]);
 
     s.query("jean");
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 2, 3]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 
     s.query("bob");
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[2, 4]");
+    insta::assert_snapshot!(format!("{scores:#?}"), @r###"
+    [
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 1,
+                },
+            ),
+            GeoSort(
+                GeoSort {
+                    target_point: [
+                        0.0,
+                        0.0,
+                    ],
+                    ascending: true,
+                    value: Some(
+                        [
+                            -89.0,
+                            0.0,
+                        ],
+                    ),
+                },
+            ),
+        ],
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 1,
+                },
+            ),
+            GeoSort(
+                GeoSort {
+                    target_point: [
+                        0.0,
+                        0.0,
+                    ],
+                    ascending: true,
+                    value: Some(
+                        [
+                            0.0,
+                            -179.0,
+                        ],
+                    ),
+                },
+            ),
+        ],
+    ]
+    "###);
 
     s.query("intel");
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[1]");
+    insta::assert_snapshot!(format!("{scores:#?}"), @r###"
+    [
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 1,
+                },
+            ),
+            GeoSort(
+                GeoSort {
+                    target_point: [
+                        0.0,
+                        0.0,
+                    ],
+                    ascending: true,
+                    value: Some(
+                        [
+                            88.0,
+                            0.0,
+                        ],
+                    ),
+                },
+            ),
+        ],
+    ]
+    "###);
 }
 
 #[test]
@@ -198,9 +299,11 @@ fn geo_sort_without_any_geo_faceted_documents() {
     let rtxn = index.read_txn().unwrap();
 
     let mut s = Search::new(&rtxn, &index);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.sort_criteria(vec![AscDesc::Asc(Member::Geo([0., 0.]))]);
 
     s.query("jean");
-    let ids = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
+    let (ids, scores) = execute_iterative_and_rtree_returns_the_same(&rtxn, &index, &mut s);
     insta::assert_snapshot!(format!("{ids:?}"), @"[0, 2, 3]");
+    insta::assert_snapshot!(format!("{scores:#?}"));
 }

milli/src/search/new/tests/ngram_split_words.rs

@@ -80,10 +80,13 @@ fn test_2gram_simple() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("sun flower");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     // will also match documents with "sunflower" + prefix tolerance
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1, 2, 3, 5]");
+    // scores are empty because the only rule is Words with All matching strategy
+    insta::assert_snapshot!(format!("{document_scores:?}"), @"[[], [], [], [], []]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [

milli/src/search/new/tests/proximity.rs

@@ -124,6 +124,8 @@ fn create_edge_cases_index() -> TempIndex {
         },
         // The next 5 documents lay out a trap with the split word, phrase search, or synonym `sun flower`.
         // If the search query is "sunflower", the split word "Sun Flower" will match some documents.
+        // The next 5 documents lay out a trap with the split word, phrase search, or synonym `sun flower`.
+        // If the search query is "sunflower", the split word "Sun Flower" will match some documents.
         // If the query is `sunflower wilting`, then we should make sure that
         // the proximity condition `flower wilting: sprx N` also comes with the condition
         // `sun wilting: sprx N+1`, but this is not the exact condition we use for now.
@@ -140,6 +142,7 @@ fn create_edge_cases_index() -> TempIndex {
         {
             "id": 3,
             // This document matches the query `sunflower wilting`, but the sprximity condition
+            // This document matches the query `sunflower wilting`, but the sprximity condition
             // between `sunflower` and `wilting` cannot be through the split-word `Sun Flower`
             // which would reduce to only `flower` and `wilting` being in sprximity.
             "text": "A flower wilting under the sun, unlike a sunflower"
@@ -270,13 +273,13 @@ fn test_proximity_simple() {
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("the quick brown fox jumps over the lazy dog");
     let SearchResult { documents_ids, .. } = s.execute().unwrap();
-    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[4, 9, 10, 7, 6, 5, 2, 3, 0, 1]");
+    insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 10, 4, 7, 6, 5, 2, 3, 0, 1]");
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     insta::assert_debug_snapshot!(texts, @r###"
     [
-        "\"the quickbrown fox jumps over the lazy dog\"",
         "\"the quack brown fox jumps over the lazy dog\"",
         "\"the quick brown fox jumps over the lazy dog\"",
+        "\"the quickbrown fox jumps over the lazy dog\"",
         "\"the really quick brown fox jumps over the lazy dog\"",
         "\"the really quick brown fox jumps over the very lazy dog\"",
         "\"brown quick fox jumps over the lazy dog\"",
@@ -295,9 +298,12 @@ fn test_proximity_split_word() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("sunflower wilting");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 5, 1, 3]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
+
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     // "2" and "4" should be swapped ideally
     insta::assert_debug_snapshot!(texts, @r###"
@@ -312,9 +318,11 @@ fn test_proximity_split_word() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("\"sun flower\" wilting");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 1]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     // "2" and "4" should be swapped ideally
     insta::assert_debug_snapshot!(texts, @r###"
@@ -337,9 +345,11 @@ fn test_proximity_split_word() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("xyz wilting");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 4, 1]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     // "2" and "4" should be swapped ideally
     insta::assert_debug_snapshot!(texts, @r###"
@@ -358,9 +368,11 @@ fn test_proximity_prefix_db() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("best s");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 13, 9, 12, 8, 6, 7, 11, 15]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     // This test illustrates the loss of precision from using the prefix DB
@@ -381,9 +393,11 @@ fn test_proximity_prefix_db() {
     // Difference when using the `su` prefix, which is not in the prefix DB
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("best su");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 13, 9, 12, 8, 11, 7, 6, 15]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     insta::assert_debug_snapshot!(texts, @r###"
@@ -406,9 +420,11 @@ fn test_proximity_prefix_db() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("best win");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[15, 16, 17, 18, 19, 20, 21, 22]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     insta::assert_debug_snapshot!(texts, @r###"
@@ -428,9 +444,11 @@ fn test_proximity_prefix_db() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("best wint");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 22, 18, 21, 17, 20, 16, 15]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     insta::assert_debug_snapshot!(texts, @r###"
@@ -450,9 +468,11 @@ fn test_proximity_prefix_db() {
 
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
     s.query("best wi");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 22, 18, 21, 17, 15, 16, 20]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"));
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
 
     insta::assert_debug_snapshot!(texts, @r###"

milli/src/search/new/tests/proximity_typo.rs

@@ -60,8 +60,41 @@ fn test_trap_basic() {
     let mut s = Search::new(&txn, &index);
     s.terms_matching_strategy(TermsMatchingStrategy::All);
     s.query("summer holiday");
-    let SearchResult { documents_ids, .. } = s.execute().unwrap();
+    s.scoring_strategy(crate::score_details::ScoringStrategy::Detailed);
+    let SearchResult { documents_ids, document_scores, .. } = s.execute().unwrap();
     insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1]");
+    insta::assert_snapshot!(format!("{document_scores:#?}"), @r###"
+    [
+        [
+            Proximity(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 0,
+                    max_typo_count: 2,
+                },
+            ),
+        ],
+        [
+            Proximity(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 0,
+                    max_typo_count: 2,
+                },
+            ),
+        ],
+    ]
+    "###);
     let texts = collect_field_values(&index, &txn, "text", &documents_ids);
     // This is incorrect, 1 should come before 0
     insta::assert_debug_snapshot!(texts, @r###"

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_fid__attribute_fid_ngrams.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/attribute_fid.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        2,
+        [
+            Fid(
+                Rank {
+                    rank: 19,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 91,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 15,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 14,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 79,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Fid(
+                Rank {
+                    rank: 13,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 77,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Fid(
+                Rank {
+                    rank: 12,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 83,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 75,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 10,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 79,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 10,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 73,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Fid(
+                Rank {
+                    rank: 7,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 77,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        10,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 78,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        14,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 75,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Fid(
+                Rank {
+                    rank: 1,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 91,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_fid__attribute_fid_simple.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/attribute_fid.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        2,
+        [
+            Fid(
+                Rank {
+                    rank: 19,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 91,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 15,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 14,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 79,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Fid(
+                Rank {
+                    rank: 13,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 77,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Fid(
+                Rank {
+                    rank: 12,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 83,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 75,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 10,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 79,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 10,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 73,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Fid(
+                Rank {
+                    rank: 7,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 77,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        10,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 81,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Fid(
+                Rank {
+                    rank: 6,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 78,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        14,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 75,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Fid(
+                Rank {
+                    rank: 1,
+                    max_rank: 19,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 91,
+                    max_rank: 91,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_position__attribute_position_different_fields.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/attribute_position.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        10,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 18,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 13,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 5,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 1,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_position__attribute_position_ngrams.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/attribute_position.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        10,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 18,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 13,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 5,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 1,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_position__attribute_position_repeated.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/attribute_position.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 11,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 51,
+                    max_rank: 51,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 11,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 51,
+                    max_rank: 51,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 11,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 51,
+                    max_rank: 51,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 11,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 51,
+                    max_rank: 51,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 11,
+                    max_rank: 11,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 50,
+                    max_rank: 51,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__attribute_position__attribute_position_simple-2.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/attribute_position.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        10,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 21,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 20,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 19,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 18,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 15,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 13,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 5,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 4,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Fid(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Position(
+                Rank {
+                    rank: 1,
+                    max_rank: 21,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_after_words.snap

@@ -0,0 +1,366 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        19,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        18,
+        [
+            Words(
+                Words {
+                    matching_words: 8,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 9,
+                    max_rank: 9,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 8,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 9,
+                },
+            ),
+        ],
+    ),
+    (
+        17,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        16,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        15,
+        [
+            Words(
+                Words {
+                    matching_words: 5,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 5,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        14,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_all_candidates_with_typo.snap

@@ -0,0 +1,106 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 1,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_attribute_starts_with_phrase-3.snap

@@ -0,0 +1,126 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_attribute_starts_with_phrase.snap

@@ -0,0 +1,86 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 7,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_attribute_starts_with_simple.snap

@@ -0,0 +1,66 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 2,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 2,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 2,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_followed_by_typo_prefer_no_typo_prefix.snap

@@ -0,0 +1,136 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 0,
+                    max_typo_count: 1,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 0,
+                    max_typo_count: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 1,
+                    max_typo_count: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 1,
+                    max_typo_count: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 5,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 2,
+                    max_typo_count: 3,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_simple_ordered.snap

@@ -0,0 +1,186 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        9,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 8,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 9,
+                    max_rank: 9,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 5,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_simple_random.snap

@@ -0,0 +1,126 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_simple_reversed-3.snap

@@ -0,0 +1,146 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        9,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__exactness_simple_reversed.snap

@@ -0,0 +1,146 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        9,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__proximity_after_exactness-4.snap

@@ -0,0 +1,84 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        0,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 35,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 35,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 35,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__proximity_after_exactness.snap

@@ -0,0 +1,240 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 57,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 56,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 35,
+                    max_rank: 57,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 22,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 22,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                MatchesStart,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 22,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 21,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 17,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+            Proximity(
+                Rank {
+                    rank: 17,
+                    max_rank: 22,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__typo_followed_by_exactness.snap

@@ -0,0 +1,110 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 0,
+                    max_typo_count: 5,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        0,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 1,
+                    max_typo_count: 5,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 2,
+                    max_typo_count: 5,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 4,
+                },
+            ),
+            Typo(
+                Typo {
+                    typo_count: 2,
+                    max_typo_count: 5,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__exactness__words_after_exactness.snap

@@ -0,0 +1,366 @@
+---
+source: milli/src/search/new/tests/exactness.rs
+expression: "format!(\"{document_ids_scores:#?}\")"
+---
+[
+    (
+        19,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 10,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        9,
+        [
+            Words(
+                Words {
+                    matching_words: 9,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 7,
+                    max_rank: 10,
+                },
+            ),
+        ],
+    ),
+    (
+        18,
+        [
+            Words(
+                Words {
+                    matching_words: 8,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 9,
+                    max_rank: 9,
+                },
+            ),
+        ],
+    ),
+    (
+        8,
+        [
+            Words(
+                Words {
+                    matching_words: 8,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 9,
+                },
+            ),
+        ],
+    ),
+    (
+        17,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        16,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 8,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        6,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        7,
+        [
+            Words(
+                Words {
+                    matching_words: 7,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 8,
+                },
+            ),
+        ],
+    ),
+    (
+        15,
+        [
+            Words(
+                Words {
+                    matching_words: 5,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 6,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        5,
+        [
+            Words(
+                Words {
+                    matching_words: 5,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 6,
+                },
+            ),
+        ],
+    ),
+    (
+        14,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 5,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        4,
+        [
+            Words(
+                Words {
+                    matching_words: 4,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 5,
+                },
+            ),
+        ],
+    ),
+    (
+        13,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 4,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        3,
+        [
+            Words(
+                Words {
+                    matching_words: 3,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 4,
+                },
+            ),
+        ],
+    ),
+    (
+        12,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 3,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        2,
+        [
+            Words(
+                Words {
+                    matching_words: 2,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                NoExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 3,
+                },
+            ),
+        ],
+    ),
+    (
+        1,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+    (
+        11,
+        [
+            Words(
+                Words {
+                    matching_words: 1,
+                    max_matching_words: 9,
+                },
+            ),
+            ExactAttribute(
+                ExactMatch,
+            ),
+            Exactness(
+                Rank {
+                    rank: 2,
+                    max_rank: 2,
+                },
+            ),
+        ],
+    ),
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort-2.snap

@@ -0,0 +1,168 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        1.0,
+                        1.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        2.0,
+                        -1.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -2.0,
+                        -2.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        3.0,
+                        5.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        6.0,
+                        -5.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort-4.snap

@@ -0,0 +1,168 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        6.0,
+                        -5.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        3.0,
+                        5.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -2.0,
+                        -2.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        2.0,
+                        -1.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        1.0,
+                        1.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: None,
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: None,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-10.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-12.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-14.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-16.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-18.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-2.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-20.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    -175.0,
+                ],
+                ascending: false,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-4.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-6.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    -85.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_around_the_edge_of_the_flat_earth-8.snap

@@ -0,0 +1,91 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        -179.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        88.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    175.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_mixed_with_words-2.snap

@@ -0,0 +1,75 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        -89.0,
+                        0.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: Some(
+                    [
+                        0.0,
+                        178.0,
+                    ],
+                ),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__geo_sort__geo_sort_without_any_geo_faceted_documents-2.snap

@@ -0,0 +1,60 @@
+---
+source: milli/src/search/new/tests/geo_sort.rs
+expression: "format!(\"{scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 1,
+            },
+        ),
+        GeoSort(
+            GeoSort {
+                target_point: [
+                    0.0,
+                    0.0,
+                ],
+                ascending: true,
+                value: None,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_prefix_db-11.snap

@@ -0,0 +1,70 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 7,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 4,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_prefix_db-14.snap

@@ -0,0 +1,70 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 7,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_prefix_db-2.snap

@@ -0,0 +1,78 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 7,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_prefix_db-5.snap

@@ -0,0 +1,78 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 7,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 6,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 4,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_prefix_db-8.snap

@@ -0,0 +1,70 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_split_word-2.snap

@@ -0,0 +1,46 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_split_word-5.snap

@@ -0,0 +1,30 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__proximity__proximity_split_word-8.snap

@@ -0,0 +1,30 @@
+---
+source: milli/src/search/new/tests/proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__sort__redacted-2.snap

@@ -0,0 +1,206 @@
+---
+source: milli/src/search/new/tests/sort.rs
+expression: document_scores_json
+---
+[
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 0.0
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.0
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.0
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.0
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.1367
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.2367
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": 1.5673
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "0"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "1"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "false"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "false"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "true"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": "true"
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  },
+  {
+    "vague:asc": {
+      "order": 0,
+      "value": null
+    },
+    "<hidden-rule-1>": {
+      "order": 1,
+      "value": "<hidden>"
+    }
+  }
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__sort__sort-11.snap

@@ -0,0 +1,206 @@
+---
+source: milli/src/search/new/tests/sort.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(1.5673),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(1.2367),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(1.1367),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("true"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("true"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("false"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("false"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("1"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: String("0"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: false,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__sort__sort-2.snap

@@ -0,0 +1,206 @@
+---
+source: milli/src/search/new/tests/sort.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("i"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("i"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("i"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("h"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("g"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("g"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("f"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("f"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("f"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("e"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("d"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("c"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("c"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("c"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "letter",
+                ascending: false,
+                redacted: false,
+                value: String("b"),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__sort__sort-5.snap

@@ -0,0 +1,206 @@
+---
+source: milli/src/search/new/tests/sort.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(5.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(4.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(3.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(2.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "rank",
+                ascending: false,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__sort__sort-8.snap

@@ -0,0 +1,206 @@
+---
+source: milli/src/search/new/tests/sort.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(0.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.0),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.1367),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.2367),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Number(1.5673),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("0"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("1"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("false"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("false"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("true"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: String("true"),
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+    [
+        Sort(
+            Sort {
+                field_name: "vague",
+                ascending: true,
+                redacted: false,
+                value: Null,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__stop_words__stop_words_in_phrase-6.snap

@@ -0,0 +1,129 @@
+---
+source: milli/src/search/new/tests/stop_words.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 3,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 2,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Fid(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Position(
+            Rank {
+                rank: 31,
+                max_rank: 31,
+            },
+        ),
+        ExactAttribute(
+            NoExactMatch,
+        ),
+        Exactness(
+            Rank {
+                rank: 4,
+                max_rank: 4,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 3,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 2,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Fid(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Position(
+            Rank {
+                rank: 31,
+                max_rank: 31,
+            },
+        ),
+        ExactAttribute(
+            NoExactMatch,
+        ),
+        Exactness(
+            Rank {
+                rank: 4,
+                max_rank: 4,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 3,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 2,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Fid(
+            Rank {
+                rank: 1,
+                max_rank: 1,
+            },
+        ),
+        Position(
+            Rank {
+                rank: 27,
+                max_rank: 31,
+            },
+        ),
+        ExactAttribute(
+            NoExactMatch,
+        ),
+        Exactness(
+            Rank {
+                rank: 4,
+                max_rank: 4,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__stop_words__stop_words_in_phrase-8.snap

@@ -0,0 +1,13 @@
+---
+source: milli/src/search/new/tests/stop_words.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_bucketing-2.snap

@@ -0,0 +1,12 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [],
+    [],
+    [],
+    [],
+    [],
+    [],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_bucketing-5.snap

@@ -0,0 +1,54 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 2,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 5,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_bucketing-8.snap

@@ -0,0 +1,54 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 2,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 2,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 3,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 4,
+                max_typo_count: 6,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_exact_attribute-4.snap

@@ -0,0 +1,9 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [],
+    [],
+    [],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_exact_word-12.snap

@@ -0,0 +1,9 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [],
+    [],
+    [],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_ranking_rule_not_preceded_by_words_ranking_rule-2.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 9,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 9,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 8,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 4,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 2,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 2,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 2,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 2,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_ranking_rule_not_preceded_by_words_ranking_rule-5.snap

@@ -0,0 +1,244 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 9,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 9,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 8,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 7,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 5,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 4,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 2,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 2,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 2,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 2,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 1,
+                max_matching_words: 9,
+            },
+        ),
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 1,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_synonyms-2.snap

@@ -0,0 +1,30 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo__typo_synonyms-5.snap

@@ -0,0 +1,30 @@
+---
+source: milli/src/search/new/tests/typo.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 2,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 2,
+                max_typo_count: 13,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo_proximity__trap_basic_and_complex1-2.snap

@@ -0,0 +1,62 @@
+---
+source: milli/src/search/new/tests/typo_proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 0,
+                max_typo_count: 3,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 5,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 3,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 3,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 7,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__typo_proximity__trap_complex2-2.snap

@@ -0,0 +1,34 @@
+---
+source: milli/src/search/new/tests/typo_proximity.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 5,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+    [
+        Typo(
+            Typo {
+                typo_count: 1,
+                max_typo_count: 5,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 15,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__words_tms__words_proximity_tms_last_phrase-2.snap

@@ -0,0 +1,216 @@
+---
+source: milli/src/search/new/tests/words_tms.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 50,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 50,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 49,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 49,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 48,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 41,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 40,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 43,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 36,
+                max_rank: 36,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 31,
+                max_rank: 36,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 22,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 8,
+                max_rank: 8,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__words_tms__words_proximity_tms_last_phrase-5.snap

@@ -0,0 +1,160 @@
+---
+source: milli/src/search/new/tests/words_tms.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 43,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 43,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 42,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 42,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 41,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 34,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 33,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 36,
+                max_rank: 36,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 29,
+                max_rank: 29,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 24,
+                max_rank: 29,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__words_tms__words_proximity_tms_last_simple-2.snap

@@ -0,0 +1,286 @@
+---
+source: milli/src/search/new/tests/words_tms.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 57,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 57,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 56,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 56,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 55,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 54,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 53,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 52,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 51,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 48,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 47,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 50,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 43,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 38,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 29,
+                max_rank: 29,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 22,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 22,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 22,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 15,
+                max_rank: 15,
+            },
+        ),
+    ],
+]

milli/src/search/new/tests/snapshots/milli__search__new__tests__words_tms__words_proximity_tms_last_simple-5.snap

@@ -0,0 +1,286 @@
+---
+source: milli/src/search/new/tests/words_tms.rs
+expression: "format!(\"{document_scores:#?}\")"
+---
+[
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 57,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 56,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 55,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 54,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 54,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 54,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 53,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 53,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 52,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 47,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 45,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 9,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 1,
+                max_rank: 57,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 8,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 47,
+                max_rank: 50,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 40,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 7,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 35,
+                max_rank: 43,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 5,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 26,
+                max_rank: 29,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 19,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 19,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 4,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 19,
+                max_rank: 22,
+            },
+        ),
+    ],
+    [
+        Words(
+            Words {
+                matching_words: 3,
+                max_matching_words: 9,
+            },
+        ),
+        Proximity(
+            Rank {
+                rank: 13,
+                max_rank: 15,
+            },
+        ),
+    ],
+]