Commit Graph

91 Commits

Author SHA1 Message Date
meili-bors[bot]
d4f10800f2
Merge #3834
3834: Define searchable fields at runtime r=Kerollmops a=ManyTheFish

## Summary
This feature allows the end-user to search in one or multiple attributes using the search parameter `attributesToSearchOn`:

```json
{
  "q": "Captain Marvel",
  "attributesToSearchOn": ["title"]
}
```

This feature act like a filter, forcing Meilisearch to only return the documents containing the requested words in the attributes-to-search-on. Note that, with the matching strategy `last`, Meilisearch will only ensure that the first word is in the attributes-to-search-on, but, the retrieved documents will be ordered taking into account the word contained in the attributes-to-search-on. 

## Trying the prototype

A dedicated docker image has been released for this feature:

#### last prototype version:

```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-1
```

#### others prototype versions:

```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-0
```

## Technical Detail

The attributes-to-search-on list is given to the search context, then, the search context uses the `fid_word_docids`database using only the allowed field ids instead of the global `word_docids` database. This is the same for the prefix databases.
The database cache is updated with the merged values, meaning that the union of the field-id-database values is only made if the requested key is missing from the cache.

### Relevancy limits

Almost all ranking rules behave as expected when ordering the documents.
Only `proximity` could miss-order documents if all the searched words are in the restricted attribute but a better proximity is found in an ignored attribute in a document that should be ranked lower. I put below a failing test showing it:
```rust
#[actix_rt::test]
async fn proximity_ranking_rule_order() {
    let server = Server::new().await;
    let index = index_with_documents(
        &server,
        &json!([
        {
            "title": "Captain super mega cool. A Marvel story",
            // Perfect distance between words in an ignored attribute
            "desc": "Captain Marvel",
            "id": "1",
        },
        {
            "title": "Captain America from Marvel",
            "desc": "a Shazam ersatz",
            "id": "2",
        }]),
    )
    .await;

    // Document 2 should appear before document 1.
    index
        .search(json!({"q": "Captain Marvel", "attributesToSearchOn": ["title"], "attributesToRetrieve": ["id"]}), |response, code| {
            assert_eq!(code, 200, "{}", response);
            assert_eq!(
                response["hits"],
                json!([
                    {"id": "2"},
                    {"id": "1"},
                ])
            );
        })
        .await;
}
```

Fixing this would force us to create a `fid_word_pair_proximity_docids` and a `fid_word_prefix_pair_proximity_docids` databases which may multiply the keys of `word_pair_proximity_docids` and `word_prefix_pair_proximity_docids` by the number of attributes in the searchable_attributes list. If we think we should fix this test, I'll suggest doing it in another PR.

## Related

Fixes #3772

Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-06-28 08:19:23 +00:00
Clément Renault
29d8268c94
Fix the vector query part by using the correct universe 2023-06-27 12:32:43 +02:00
Kerollmops
ab9f2269aa
Normalize the vectors during indexation and search 2023-06-27 12:32:41 +02:00
Kerollmops
3b560ef7d0
Make clippy happy 2023-06-27 12:32:40 +02:00
Kerollmops
3c31e1cdd1
Support more pages but in an ugly way 2023-06-27 12:32:39 +02:00
Kerollmops
c79e82c62a
Move back to the hnsw crate
This reverts commit 7a4b6c065482f988b01298642f4c18775503f92f.
2023-06-27 12:32:39 +02:00
Kerollmops
268a9ef416
Move to the hgg crate 2023-06-27 12:32:38 +02:00
Clément Renault
642b0f3a1b
Expose a new vector field on the search route 2023-06-27 12:32:38 +02:00
ManyTheFish
59f64a5256 Return an error when an attribute is not searchable 2023-06-26 14:56:19 +02:00
ManyTheFish
42709ea9a5 Fix clippy warnings 2023-06-26 14:55:57 +02:00
ManyTheFish
0ccf1e2e40 Allow the search cache to store owned values 2023-06-26 14:55:57 +02:00
ManyTheFish
461b5118bd Add API search setting 2023-06-26 14:55:14 +02:00
Louis Dureuil
da833eb095
Expose the scores and detailed scores in the API 2023-06-22 12:39:14 +02:00
Louis Dureuil
701d44bd91
Store the scores for each bucket
Remove optimization where ranking rules are not executed on buckets of a single document
when the score needs to be computed
2023-06-22 12:39:14 +02:00
Loïc Lecrenier
a37da36766 Implement words as a graph-based ranking rule and fix some bugs 2023-05-16 10:42:11 +02:00
Loïc Lecrenier
85d96d35a8 Highlight ngram matches as well 2023-05-16 10:39:36 +02:00
Louis Dureuil
75819bc940
Remove too many arguments on resolve_maximally_reduced_query_graph 2023-05-02 18:53:40 +02:00
Louis Dureuil
7b8cc25625
rename located_query_terms_from_string -> located_query_terms_from_tokens 2023-05-02 18:53:01 +02:00
Loïc Lecrenier
59b12fca87 Fix errors, clippy warnings, and add review comments 2023-04-29 11:48:11 +02:00
Loïc Lecrenier
48f5bb1693 Implements the geo-sort ranking rule 2023-04-29 11:02:16 +02:00
Loïc Lecrenier
374095d42c Add tests for stop words and fix a couple of bugs 2023-04-27 13:30:09 +02:00
Louis Dureuil
b41a6cbd7a
Check sort criteria also in placeholder search 2023-04-26 16:28:17 +02:00
Loïc Lecrenier
3421125a55 Prevent the exactness ranking rule from removing random words
Make it strictly follow the term matching strategy
2023-04-26 09:09:19 +02:00
Loïc Lecrenier
8f2e971879 Add tests for "exactness" rr, make correct universe computation 2023-04-24 16:57:34 +02:00
Loïc Lecrenier
d1fdbb63da Make all search tests pass, fix distinctAttribute bug 2023-04-24 12:12:08 +02:00
Loïc Lecrenier
bd9aba4d77 Add "position" part of the attribute ranking rule 2023-04-13 10:46:09 +02:00
Kerollmops
df0d9bb878 Introduce the attribute ranking rule in the list of ranking rules 2023-04-13 08:27:09 +02:00
Louis Dureuil
5ab46324c4 Everyone uses the SearchContext::word_docids instead of get_db_word_docids
make get_db_word_docids private
2023-04-12 16:44:43 +02:00
Louis Dureuil
325f17488a Add SearchContext::word_docids() method 2023-04-12 16:37:05 +02:00
Loïc Lecrenier
1f813a6f3b Simplify implementation of the detailed (=visual) logger 2023-04-12 16:32:53 +02:00
Loïc Lecrenier
96183e804a Simplify the logger 2023-04-12 16:32:53 +02:00
Loïc Lecrenier
7ab48ed8c7 Matching words fixes 2023-04-12 16:21:43 +02:00
Loïc Lecrenier
e7bb8c940f Merge branch 'search-refactor-highlighter' into search-refactor-highlighter-merged 2023-04-11 12:22:34 +02:00
Loïc Lecrenier
d0e9d65025 Fix distinct attribute bugs 2023-04-07 11:09:01 +02:00
Loïc Lecrenier
7ca91ebb71 Merge branch 'search-refactor-exactness' into search-refactor-tests-doc 2023-04-06 15:16:35 +02:00
ManyTheFish
47f6a3ad3d Take into account that a logger need the search context 2023-04-06 15:02:23 +02:00
ManyTheFish
9c5f64769a Integrate the new Highlighter in the search 2023-04-06 13:58:56 +02:00
ManyTheFish
13b7c826c1 add new highlighter 2023-04-06 12:15:37 +02:00
Loïc Lecrenier
959e4607bb Add more search tests 2023-04-04 18:02:46 +02:00
Louis Dureuil
4b4ffb8ec9
Add exactness ranking rules 2023-04-04 17:12:07 +02:00
Loïc Lecrenier
b439d36807 Split query_term module into multiple submodules 2023-04-04 15:38:30 +02:00
Loïc Lecrenier
4708d9b016 Fix compiler warnings/errors 2023-04-03 10:09:27 +02:00
Clément Renault
0d2e7bcc13 Implement the previous way for the exhaustive distinct candidates 2023-04-03 10:08:10 +02:00
Loïc Lecrenier
55fbfb6124 Merge branch 'search-refactor-located-query-terms' into search-refactor 2023-04-03 10:04:36 +02:00
Louis Dureuil
9b87c36200 Limit the number of derivations for a single word. 2023-03-31 09:19:18 +02:00
Loïc Lecrenier
12b26cd54e Don't remove phrases from the query with term matching strategy Last 2023-03-30 14:54:08 +02:00
Loïc Lecrenier
061b1e6d7c Tiny refactor of query graph remove_nodes method 2023-03-30 14:49:25 +02:00
Loïc Lecrenier
2997d1f186 Use new term matching strategy logic in resolve_maximally_reduced_... 2023-03-30 13:12:51 +02:00
Loïc Lecrenier
fdd02105ac Graph-based ranking rule + term matching strategy support 2023-03-30 12:19:21 +02:00
Loïc Lecrenier
b96a682f16 Update resolve_graph module to work with lazy query terms 2023-03-30 11:10:38 +02:00