add prompt and context

meilisearch-types/src/error.rs

@@ -245,7 +245,9 @@ InvalidSearchCropMarker               , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchFacets                   , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchSemanticRatio            , InvalidRequest       , BAD_REQUEST ;
 InvalidFacetSearchFacetName           , InvalidRequest       , BAD_REQUEST ;
+InvalidRecommendContext               , InvalidRequest       , BAD_REQUEST ;
 InvalidRecommendId                    , InvalidRequest       , BAD_REQUEST ;
+InvalidRecommendPrompt                , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchFilter                   , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchHighlightPostTag         , InvalidRequest       , BAD_REQUEST ;
 InvalidSearchHighlightPreTag          , InvalidRequest       , BAD_REQUEST ;
@@ -309,6 +311,8 @@ MissingFacetSearchFacetName           , InvalidRequest       , BAD_REQUEST ;
 MissingIndexUid                       , InvalidRequest       , BAD_REQUEST ;
 MissingMasterKey                      , Auth                 , UNAUTHORIZED ;
 MissingPayload                        , InvalidRequest       , BAD_REQUEST ;
+MissingPrompt                         , InvalidRequest       , BAD_REQUEST ;
+MissingPromptOrId                     , InvalidRequest       , BAD_REQUEST ;
 MissingSearchHybrid                   , InvalidRequest       , BAD_REQUEST ;
 MissingSwapIndexes                    , InvalidRequest       , BAD_REQUEST ;
 MissingTaskFilters                    , InvalidRequest       , BAD_REQUEST ;

meilisearch/src/error.rs

@@ -61,6 +61,10 @@ pub enum MeilisearchHttpError {
     Join(#[from] JoinError),
     #[error("Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.")]
     MissingSearchHybrid,
+    #[error("Invalid request: `prompt` parameter is required when `context` is present.")]
+    RecommendMissingPrompt,
+    #[error("Invalid request: one of the `prompt` or `id` parameters is required.")]
+    RecommendMissingPromptOrId,
 }
 
 impl ErrorCode for MeilisearchHttpError {
@@ -89,6 +93,8 @@ impl ErrorCode for MeilisearchHttpError {
             MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
             MeilisearchHttpError::Join(_) => Code::Internal,
             MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
+            MeilisearchHttpError::RecommendMissingPrompt => Code::MissingPrompt,
+            MeilisearchHttpError::RecommendMissingPromptOrId => Code::MissingPromptOrId,
         }
     }
 }

meilisearch/src/search.rs

@@ -316,7 +316,7 @@ impl SearchQueryWithIndex {
 #[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
 pub struct RecommendQuery {
     #[deserr(default, error = DeserrJsonError<InvalidRecommendId>)]
-    pub id: String,
+    pub id: Option<String>,
     #[deserr(default = DEFAULT_SEARCH_OFFSET(), error = DeserrJsonError<InvalidSearchOffset>)]
     pub offset: usize,
     #[deserr(default = DEFAULT_SEARCH_LIMIT(), error = DeserrJsonError<InvalidSearchLimit>)]
@@ -331,6 +331,11 @@ pub struct RecommendQuery {
     pub show_ranking_score: bool,
     #[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
     pub show_ranking_score_details: bool,
+
+    #[deserr(default, error = DeserrJsonError<InvalidRecommendPrompt>)]
+    pub prompt: Option<String>,
+    #[deserr(default, error = DeserrJsonError<InvalidRecommendContext>)]
+    pub context: Option<Value>,
 }
 
 #[derive(Debug, Copy, Clone, PartialEq, Eq, Deserr)]
@@ -418,7 +423,8 @@ pub struct SearchResult {
 #[serde(rename_all = "camelCase")]
 pub struct RecommendResult {
     pub hits: Vec<SearchHit>,
-    pub id: String,
+    pub id: Option<String>,
+    pub prompt: Option<String>,
     pub processing_time_ms: u128,
     #[serde(flatten)]
     pub hits_info: HitsInfo,
@@ -836,12 +842,19 @@ pub fn perform_recommend(
     let before_search = Instant::now();
     let rtxn = index.read_txn()?;
 
-    let internal_id = index
+    let internal_id = query
+        .id
+        .as_deref()
+        .map(|id| -> Result<_, MeilisearchHttpError> {
+            Ok(index
                 .external_documents_ids()
-        .get(&rtxn, &query.id)?
-        .ok_or_else(|| MeilisearchHttpError::DocumentNotFound(query.id.clone()))?;
+                .get(&rtxn, id)?
+                .ok_or_else(|| MeilisearchHttpError::DocumentNotFound(id.to_owned()))?)
+        })
+        .transpose()?;
 
-    let mut recommend = milli::Recommend::new(
+    let mut recommend = match (query.prompt.as_deref(), internal_id, query.context) {
+        (None, Some(internal_id), None) => milli::Recommend::with_docid(
             internal_id,
             query.offset,
             query.limit,
@@ -849,7 +862,21 @@ pub fn perform_recommend(
             &rtxn,
             embedder_name,
             embedder,
-    );
+        ),
+        (Some(prompt), internal_id, context) => milli::Recommend::with_prompt(
+            prompt,
+            internal_id,
+            context,
+            query.offset,
+            query.limit,
+            index,
+            &rtxn,
+            embedder_name,
+            embedder,
+        ),
+        (None, _, Some(_)) => return Err(MeilisearchHttpError::RecommendMissingPrompt.into()),
+        (None, None, None) => return Err(MeilisearchHttpError::RecommendMissingPromptOrId.into()),
+    };
 
     if let Some(ref filter) = query.filter {
         if let Some(facets) = parse_filter(filter)? {
@@ -947,6 +974,7 @@ pub fn perform_recommend(
         hits: documents,
         hits_info,
         id: query.id,
+        prompt: query.prompt,
         processing_time_ms: before_search.elapsed().as_millis(),
     };
     Ok(result)

milli/src/prompt/document.rs

@@ -29,7 +29,7 @@ impl ParsedValue {
 }
 
 impl<'a> Document<'a> {
-    pub fn new(
+    pub fn from_deladd_obkv(
         data: obkv::KvReaderU16<'a>,
         side: DelAdd,
         inverted_field_map: &'a FieldsIdsMap,
@@ -48,6 +48,20 @@ impl<'a> Document<'a> {
         Self(out_data)
     }
 
+    pub fn from_doc_obkv(
+        data: obkv::KvReaderU16<'a>,
+        inverted_field_map: &'a FieldsIdsMap,
+    ) -> Self {
+        let mut out_data = BTreeMap::new();
+        for (fid, raw) in data {
+            let Some(name) = inverted_field_map.name(fid) else {
+                continue;
+            };
+            out_data.insert(name, (raw, ParsedValue::empty()));
+        }
+        Self(out_data)
+    }
+
     fn is_empty(&self) -> bool {
         self.0.is_empty()
     }

milli/src/prompt/mod.rs

@@ -2,6 +2,7 @@ mod context;
 mod document;
 pub(crate) mod error;
 mod fields;
+pub mod recommend;
 mod template_checker;
 
 use std::convert::TryFrom;
@@ -9,7 +10,7 @@ use std::convert::TryFrom;
 use error::{NewPromptError, RenderPromptError};
 
 use self::context::Context;
-use self::document::Document;
+pub use self::document::Document;
 use crate::update::del_add::DelAdd;
 use crate::FieldsIdsMap;
 
@@ -95,7 +96,7 @@ impl Prompt {
         side: DelAdd,
         field_id_map: &FieldsIdsMap,
     ) -> Result<String, RenderPromptError> {
-        let document = Document::new(document, side, field_id_map);
+        let document = Document::from_deladd_obkv(document, side, field_id_map);
         let context = Context::new(&document, field_id_map);
 
         self.template.render(&context).map_err(RenderPromptError::missing_context)

milli/src/prompt/recommend.rs

@@ -0,0 +1,112 @@
+use liquid::model::{
+    DisplayCow, KStringCow, ObjectRender, ObjectSource, State, Value as LiquidValue,
+};
+use liquid::{ObjectView, ValueView};
+
+use super::document::Document;
+
+#[derive(Clone, Debug)]
+pub struct Context<'a> {
+    document: Option<&'a Document<'a>>,
+    context: Option<liquid::Object>,
+}
+
+impl<'a> Context<'a> {
+    pub fn new(document: Option<&'a Document<'a>>, context: Option<serde_json::Value>) -> Self {
+        /// FIXME: unwrap
+        let context = context.map(|context| liquid::to_object(&context).unwrap());
+        Self { document, context }
+    }
+}
+
+impl<'a> ObjectView for Context<'a> {
+    fn as_value(&self) -> &dyn ValueView {
+        self
+    }
+
+    fn size(&self) -> i64 {
+        match (self.context.as_ref(), self.document.as_ref()) {
+            (None, None) => 0,
+            (None, Some(_)) => 1,
+            (Some(_), None) => 1,
+            (Some(_), Some(_)) => 2,
+        }
+    }
+
+    fn keys<'k>(&'k self) -> Box<dyn Iterator<Item = KStringCow<'k>> + 'k> {
+        let keys = match (self.context.as_ref(), self.document.as_ref()) {
+            (None, None) => [].as_slice(),
+            (None, Some(_)) => ["doc"].as_slice(),
+            (Some(_), None) => ["context"].as_slice(),
+            (Some(_), Some(_)) => ["context", "doc"].as_slice(),
+        };
+
+        Box::new(keys.iter().map(|s| KStringCow::from_static(s)))
+    }
+
+    fn values<'k>(&'k self) -> Box<dyn Iterator<Item = &'k dyn ValueView> + 'k> {
+        Box::new(
+            self.context
+                .as_ref()
+                .map(|context| context.as_value())
+                .into_iter()
+                .chain(self.document.map(|document| document.as_value()).into_iter()),
+        )
+    }
+
+    fn iter<'k>(&'k self) -> Box<dyn Iterator<Item = (KStringCow<'k>, &'k dyn ValueView)> + 'k> {
+        Box::new(self.keys().zip(self.values()))
+    }
+
+    fn contains_key(&self, index: &str) -> bool {
+        index == "context" || index == "doc"
+    }
+
+    fn get<'s>(&'s self, index: &str) -> Option<&'s dyn ValueView> {
+        match index {
+            "context" => self.context.as_ref().map(|context| context.as_value()),
+            "doc" => self.document.as_ref().map(|doc| doc.as_value()),
+            _ => None,
+        }
+    }
+}
+
+impl<'a> ValueView for Context<'a> {
+    fn as_debug(&self) -> &dyn std::fmt::Debug {
+        self
+    }
+
+    fn render(&self) -> liquid::model::DisplayCow<'_> {
+        DisplayCow::Owned(Box::new(ObjectRender::new(self)))
+    }
+
+    fn source(&self) -> liquid::model::DisplayCow<'_> {
+        DisplayCow::Owned(Box::new(ObjectSource::new(self)))
+    }
+
+    fn type_name(&self) -> &'static str {
+        "object"
+    }
+
+    fn query_state(&self, state: liquid::model::State) -> bool {
+        match state {
+            State::Truthy => true,
+            State::DefaultValue | State::Empty | State::Blank => false,
+        }
+    }
+
+    fn to_kstr(&self) -> liquid::model::KStringCow<'_> {
+        let s = ObjectRender::new(self).to_string();
+        KStringCow::from_string(s)
+    }
+
+    fn to_value(&self) -> LiquidValue {
+        LiquidValue::Object(
+            self.iter().map(|(k, x)| (k.to_string().into(), x.to_value())).collect(),
+        )
+    }
+
+    fn as_object(&self) -> Option<&dyn ObjectView> {
+        Some(self)
+    }
+}

milli/src/search/recommend.rs

@@ -1,13 +1,20 @@
 use std::sync::Arc;
 
 use ordered_float::OrderedFloat;
+use roaring::RoaringBitmap;
+use serde_json::Value;
 
 use crate::score_details::{self, ScoreDetails};
 use crate::vector::Embedder;
 use crate::{filtered_universe, DocumentId, Filter, Index, Result, SearchResult};
 
+enum RecommendKind<'a> {
+    Id(DocumentId),
+    Prompt { prompt: &'a str, context: Option<Value>, id: Option<DocumentId> },
+}
+
 pub struct Recommend<'a> {
-    id: DocumentId,
+    kind: RecommendKind<'a>,
     // this should be linked to the String in the query
     filter: Option<Filter<'a>>,
     offset: usize,
@@ -19,7 +26,7 @@ pub struct Recommend<'a> {
 }
 
 impl<'a> Recommend<'a> {
-    pub fn new(
+    pub fn with_docid(
         id: DocumentId,
         offset: usize,
         limit: usize,
@@ -28,7 +35,39 @@ impl<'a> Recommend<'a> {
         embedder_name: String,
         embedder: Arc<Embedder>,
     ) -> Self {
-        Self { id, filter: None, offset, limit, rtxn, index, embedder_name, embedder }
+        Self {
+            kind: RecommendKind::Id(id),
+            filter: None,
+            offset,
+            limit,
+            rtxn,
+            index,
+            embedder_name,
+            embedder,
+        }
+    }
+
+    pub fn with_prompt(
+        prompt: &'a str,
+        id: Option<DocumentId>,
+        context: Option<Value>,
+        offset: usize,
+        limit: usize,
+        index: &'a Index,
+        rtxn: &'a heed::RoTxn<'a>,
+        embedder_name: String,
+        embedder: Arc<Embedder>,
+    ) -> Self {
+        Self {
+            kind: RecommendKind::Prompt { prompt, context, id },
+            filter: None,
+            offset,
+            limit,
+            rtxn,
+            index,
+            embedder_name,
+            embedder,
+        }
     }
 
     pub fn filter(&mut self, filter: Filter<'a>) -> &mut Self {
@@ -62,16 +101,67 @@ impl<'a> Recommend<'a> {
 
         let mut results = Vec::new();
 
+        /// FIXME: make id optional...
+        let id = match &self.kind {
+            RecommendKind::Id(id) => *id,
+            RecommendKind::Prompt { prompt, context, id } => id.unwrap(),
+        };
+
+        let personalization_vector = if let RecommendKind::Prompt { prompt, context, id } =
+            &self.kind
+        {
+            let fields_ids_map = self.index.fields_ids_map(self.rtxn)?;
+
+            let document = if let Some(id) = id {
+                Some(self.index.iter_documents(self.rtxn, std::iter::once(*id))?.next().unwrap()?.1)
+            } else {
+                None
+            };
+            let document = document
+                .map(|document| crate::prompt::Document::from_doc_obkv(document, &fields_ids_map));
+
+            let context =
+                crate::prompt::recommend::Context::new(document.as_ref(), context.clone());
+
+            /// FIXME: handle error bad template
+            let template =
+                liquid::ParserBuilder::new().stdlib().build().unwrap().parse(prompt).unwrap();
+
+            /// FIXME: handle error bad context
+            let rendered = template.render(&context).unwrap();
+
+            /// FIXME: handle embedding error
+            Some(self.embedder.embed_one(rendered).unwrap())
+        } else {
+            None
+        };
+
         for reader in readers.iter() {
             let nns_by_item = reader.nns_by_item(
                 self.rtxn,
-                self.id,
+                id,
                 self.limit + self.offset + 1,
                 None,
                 Some(&universe),
             )?;
-            if let Some(mut nns_by_item) = nns_by_item {
-                results.append(&mut nns_by_item);
+
+            if let Some(nns_by_item) = nns_by_item {
+                let mut nns = match &personalization_vector {
+                    Some(vector) => {
+                        let candidates: RoaringBitmap =
+                            nns_by_item.iter().map(|(docid, _)| docid).collect();
+                        reader.nns_by_vector(
+                            self.rtxn,
+                            vector,
+                            self.limit + self.offset + 1,
+                            None,
+                            Some(&candidates),
+                        )?
+                    }
+                    None => nns_by_item,
+                };
+
+                results.append(&mut nns);
             }
         }