mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-03 10:05:45 +01:00
add prompt and context
This commit is contained in:
parent
f505fa4ae8
commit
9cef8ec087
@ -245,7 +245,9 @@ InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
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InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
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InvalidSearchSemanticRatio , InvalidRequest , BAD_REQUEST ;
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InvalidFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
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InvalidRecommendContext , InvalidRequest , BAD_REQUEST ;
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InvalidRecommendId , InvalidRequest , BAD_REQUEST ;
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InvalidRecommendPrompt , InvalidRequest , BAD_REQUEST ;
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InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
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InvalidSearchHighlightPostTag , InvalidRequest , BAD_REQUEST ;
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InvalidSearchHighlightPreTag , InvalidRequest , BAD_REQUEST ;
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@ -309,6 +311,8 @@ MissingFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
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MissingIndexUid , InvalidRequest , BAD_REQUEST ;
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MissingMasterKey , Auth , UNAUTHORIZED ;
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MissingPayload , InvalidRequest , BAD_REQUEST ;
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MissingPrompt , InvalidRequest , BAD_REQUEST ;
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MissingPromptOrId , InvalidRequest , BAD_REQUEST ;
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MissingSearchHybrid , InvalidRequest , BAD_REQUEST ;
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MissingSwapIndexes , InvalidRequest , BAD_REQUEST ;
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MissingTaskFilters , InvalidRequest , BAD_REQUEST ;
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@ -61,6 +61,10 @@ pub enum MeilisearchHttpError {
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Join(#[from] JoinError),
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#[error("Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.")]
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MissingSearchHybrid,
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#[error("Invalid request: `prompt` parameter is required when `context` is present.")]
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RecommendMissingPrompt,
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#[error("Invalid request: one of the `prompt` or `id` parameters is required.")]
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RecommendMissingPromptOrId,
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}
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impl ErrorCode for MeilisearchHttpError {
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@ -89,6 +93,8 @@ impl ErrorCode for MeilisearchHttpError {
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MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
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MeilisearchHttpError::Join(_) => Code::Internal,
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MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
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MeilisearchHttpError::RecommendMissingPrompt => Code::MissingPrompt,
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MeilisearchHttpError::RecommendMissingPromptOrId => Code::MissingPromptOrId,
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}
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}
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}
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@ -316,7 +316,7 @@ impl SearchQueryWithIndex {
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#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
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pub struct RecommendQuery {
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#[deserr(default, error = DeserrJsonError<InvalidRecommendId>)]
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pub id: String,
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pub id: Option<String>,
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#[deserr(default = DEFAULT_SEARCH_OFFSET(), error = DeserrJsonError<InvalidSearchOffset>)]
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pub offset: usize,
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#[deserr(default = DEFAULT_SEARCH_LIMIT(), error = DeserrJsonError<InvalidSearchLimit>)]
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@ -331,6 +331,11 @@ pub struct RecommendQuery {
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pub show_ranking_score: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
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pub show_ranking_score_details: bool,
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#[deserr(default, error = DeserrJsonError<InvalidRecommendPrompt>)]
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pub prompt: Option<String>,
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#[deserr(default, error = DeserrJsonError<InvalidRecommendContext>)]
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pub context: Option<Value>,
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}
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#[derive(Debug, Copy, Clone, PartialEq, Eq, Deserr)]
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@ -418,7 +423,8 @@ pub struct SearchResult {
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#[serde(rename_all = "camelCase")]
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pub struct RecommendResult {
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pub hits: Vec<SearchHit>,
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pub id: String,
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pub id: Option<String>,
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pub prompt: Option<String>,
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pub processing_time_ms: u128,
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#[serde(flatten)]
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pub hits_info: HitsInfo,
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@ -836,20 +842,41 @@ pub fn perform_recommend(
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let before_search = Instant::now();
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let rtxn = index.read_txn()?;
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let internal_id = index
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.external_documents_ids()
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.get(&rtxn, &query.id)?
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.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(query.id.clone()))?;
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let internal_id = query
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.id
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.as_deref()
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.map(|id| -> Result<_, MeilisearchHttpError> {
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Ok(index
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.external_documents_ids()
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.get(&rtxn, id)?
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.ok_or_else(|| MeilisearchHttpError::DocumentNotFound(id.to_owned()))?)
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})
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.transpose()?;
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let mut recommend = milli::Recommend::new(
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internal_id,
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query.offset,
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query.limit,
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index,
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&rtxn,
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embedder_name,
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embedder,
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);
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let mut recommend = match (query.prompt.as_deref(), internal_id, query.context) {
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(None, Some(internal_id), None) => milli::Recommend::with_docid(
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internal_id,
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query.offset,
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query.limit,
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index,
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&rtxn,
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embedder_name,
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embedder,
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),
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(Some(prompt), internal_id, context) => milli::Recommend::with_prompt(
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prompt,
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internal_id,
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context,
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query.offset,
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query.limit,
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index,
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&rtxn,
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embedder_name,
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embedder,
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),
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(None, _, Some(_)) => return Err(MeilisearchHttpError::RecommendMissingPrompt.into()),
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(None, None, None) => return Err(MeilisearchHttpError::RecommendMissingPromptOrId.into()),
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};
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if let Some(ref filter) = query.filter {
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if let Some(facets) = parse_filter(filter)? {
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@ -947,6 +974,7 @@ pub fn perform_recommend(
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hits: documents,
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hits_info,
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id: query.id,
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prompt: query.prompt,
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processing_time_ms: before_search.elapsed().as_millis(),
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};
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Ok(result)
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@ -29,7 +29,7 @@ impl ParsedValue {
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}
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impl<'a> Document<'a> {
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pub fn new(
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pub fn from_deladd_obkv(
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data: obkv::KvReaderU16<'a>,
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side: DelAdd,
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inverted_field_map: &'a FieldsIdsMap,
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@ -48,6 +48,20 @@ impl<'a> Document<'a> {
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Self(out_data)
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}
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pub fn from_doc_obkv(
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data: obkv::KvReaderU16<'a>,
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inverted_field_map: &'a FieldsIdsMap,
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) -> Self {
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let mut out_data = BTreeMap::new();
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for (fid, raw) in data {
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let Some(name) = inverted_field_map.name(fid) else {
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continue;
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};
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out_data.insert(name, (raw, ParsedValue::empty()));
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}
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Self(out_data)
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}
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fn is_empty(&self) -> bool {
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self.0.is_empty()
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}
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@ -2,6 +2,7 @@ mod context;
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mod document;
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pub(crate) mod error;
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mod fields;
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pub mod recommend;
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mod template_checker;
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use std::convert::TryFrom;
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@ -9,7 +10,7 @@ use std::convert::TryFrom;
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use error::{NewPromptError, RenderPromptError};
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use self::context::Context;
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use self::document::Document;
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pub use self::document::Document;
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use crate::update::del_add::DelAdd;
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use crate::FieldsIdsMap;
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@ -95,7 +96,7 @@ impl Prompt {
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side: DelAdd,
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field_id_map: &FieldsIdsMap,
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) -> Result<String, RenderPromptError> {
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let document = Document::new(document, side, field_id_map);
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let document = Document::from_deladd_obkv(document, side, field_id_map);
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let context = Context::new(&document, field_id_map);
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self.template.render(&context).map_err(RenderPromptError::missing_context)
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112
milli/src/prompt/recommend.rs
Normal file
112
milli/src/prompt/recommend.rs
Normal file
@ -0,0 +1,112 @@
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use liquid::model::{
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DisplayCow, KStringCow, ObjectRender, ObjectSource, State, Value as LiquidValue,
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};
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use liquid::{ObjectView, ValueView};
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use super::document::Document;
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#[derive(Clone, Debug)]
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pub struct Context<'a> {
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document: Option<&'a Document<'a>>,
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context: Option<liquid::Object>,
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}
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impl<'a> Context<'a> {
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pub fn new(document: Option<&'a Document<'a>>, context: Option<serde_json::Value>) -> Self {
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/// FIXME: unwrap
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let context = context.map(|context| liquid::to_object(&context).unwrap());
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Self { document, context }
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}
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}
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impl<'a> ObjectView for Context<'a> {
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fn as_value(&self) -> &dyn ValueView {
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self
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}
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fn size(&self) -> i64 {
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match (self.context.as_ref(), self.document.as_ref()) {
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(None, None) => 0,
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(None, Some(_)) => 1,
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(Some(_), None) => 1,
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(Some(_), Some(_)) => 2,
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}
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}
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fn keys<'k>(&'k self) -> Box<dyn Iterator<Item = KStringCow<'k>> + 'k> {
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let keys = match (self.context.as_ref(), self.document.as_ref()) {
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(None, None) => [].as_slice(),
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(None, Some(_)) => ["doc"].as_slice(),
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(Some(_), None) => ["context"].as_slice(),
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(Some(_), Some(_)) => ["context", "doc"].as_slice(),
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};
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Box::new(keys.iter().map(|s| KStringCow::from_static(s)))
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}
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fn values<'k>(&'k self) -> Box<dyn Iterator<Item = &'k dyn ValueView> + 'k> {
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Box::new(
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self.context
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.as_ref()
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.map(|context| context.as_value())
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.into_iter()
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.chain(self.document.map(|document| document.as_value()).into_iter()),
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)
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}
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fn iter<'k>(&'k self) -> Box<dyn Iterator<Item = (KStringCow<'k>, &'k dyn ValueView)> + 'k> {
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Box::new(self.keys().zip(self.values()))
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}
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fn contains_key(&self, index: &str) -> bool {
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index == "context" || index == "doc"
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}
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fn get<'s>(&'s self, index: &str) -> Option<&'s dyn ValueView> {
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match index {
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"context" => self.context.as_ref().map(|context| context.as_value()),
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"doc" => self.document.as_ref().map(|doc| doc.as_value()),
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_ => None,
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}
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}
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}
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impl<'a> ValueView for Context<'a> {
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fn as_debug(&self) -> &dyn std::fmt::Debug {
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self
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}
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fn render(&self) -> liquid::model::DisplayCow<'_> {
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DisplayCow::Owned(Box::new(ObjectRender::new(self)))
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}
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fn source(&self) -> liquid::model::DisplayCow<'_> {
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DisplayCow::Owned(Box::new(ObjectSource::new(self)))
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}
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fn type_name(&self) -> &'static str {
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"object"
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}
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fn query_state(&self, state: liquid::model::State) -> bool {
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match state {
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State::Truthy => true,
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State::DefaultValue | State::Empty | State::Blank => false,
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}
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}
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fn to_kstr(&self) -> liquid::model::KStringCow<'_> {
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let s = ObjectRender::new(self).to_string();
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KStringCow::from_string(s)
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}
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fn to_value(&self) -> LiquidValue {
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LiquidValue::Object(
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self.iter().map(|(k, x)| (k.to_string().into(), x.to_value())).collect(),
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)
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}
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fn as_object(&self) -> Option<&dyn ObjectView> {
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Some(self)
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}
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}
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@ -1,13 +1,20 @@
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use std::sync::Arc;
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use ordered_float::OrderedFloat;
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use roaring::RoaringBitmap;
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use serde_json::Value;
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use crate::score_details::{self, ScoreDetails};
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use crate::vector::Embedder;
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use crate::{filtered_universe, DocumentId, Filter, Index, Result, SearchResult};
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enum RecommendKind<'a> {
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Id(DocumentId),
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Prompt { prompt: &'a str, context: Option<Value>, id: Option<DocumentId> },
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}
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pub struct Recommend<'a> {
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id: DocumentId,
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kind: RecommendKind<'a>,
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// this should be linked to the String in the query
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filter: Option<Filter<'a>>,
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offset: usize,
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@ -19,7 +26,7 @@ pub struct Recommend<'a> {
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}
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impl<'a> Recommend<'a> {
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pub fn new(
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pub fn with_docid(
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id: DocumentId,
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offset: usize,
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limit: usize,
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@ -28,7 +35,39 @@ impl<'a> Recommend<'a> {
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embedder_name: String,
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embedder: Arc<Embedder>,
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) -> Self {
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Self { id, filter: None, offset, limit, rtxn, index, embedder_name, embedder }
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Self {
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kind: RecommendKind::Id(id),
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filter: None,
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offset,
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limit,
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rtxn,
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index,
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embedder_name,
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embedder,
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}
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}
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pub fn with_prompt(
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prompt: &'a str,
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id: Option<DocumentId>,
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context: Option<Value>,
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offset: usize,
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limit: usize,
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index: &'a Index,
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rtxn: &'a heed::RoTxn<'a>,
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embedder_name: String,
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embedder: Arc<Embedder>,
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) -> Self {
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Self {
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kind: RecommendKind::Prompt { prompt, context, id },
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filter: None,
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offset,
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limit,
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rtxn,
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index,
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embedder_name,
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embedder,
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}
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}
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pub fn filter(&mut self, filter: Filter<'a>) -> &mut Self {
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@ -62,16 +101,67 @@ impl<'a> Recommend<'a> {
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let mut results = Vec::new();
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/// FIXME: make id optional...
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let id = match &self.kind {
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RecommendKind::Id(id) => *id,
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RecommendKind::Prompt { prompt, context, id } => id.unwrap(),
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};
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let personalization_vector = if let RecommendKind::Prompt { prompt, context, id } =
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&self.kind
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{
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let fields_ids_map = self.index.fields_ids_map(self.rtxn)?;
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let document = if let Some(id) = id {
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Some(self.index.iter_documents(self.rtxn, std::iter::once(*id))?.next().unwrap()?.1)
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} else {
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None
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};
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let document = document
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.map(|document| crate::prompt::Document::from_doc_obkv(document, &fields_ids_map));
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let context =
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crate::prompt::recommend::Context::new(document.as_ref(), context.clone());
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/// FIXME: handle error bad template
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let template =
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liquid::ParserBuilder::new().stdlib().build().unwrap().parse(prompt).unwrap();
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/// FIXME: handle error bad context
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let rendered = template.render(&context).unwrap();
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/// FIXME: handle embedding error
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Some(self.embedder.embed_one(rendered).unwrap())
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} else {
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None
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};
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for reader in readers.iter() {
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let nns_by_item = reader.nns_by_item(
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self.rtxn,
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self.id,
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id,
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self.limit + self.offset + 1,
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None,
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Some(&universe),
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)?;
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if let Some(mut nns_by_item) = nns_by_item {
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results.append(&mut nns_by_item);
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if let Some(nns_by_item) = nns_by_item {
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let mut nns = match &personalization_vector {
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Some(vector) => {
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let candidates: RoaringBitmap =
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nns_by_item.iter().map(|(docid, _)| docid).collect();
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reader.nns_by_vector(
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self.rtxn,
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vector,
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self.limit + self.offset + 1,
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None,
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Some(&candidates),
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)?
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}
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None => nns_by_item,
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};
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results.append(&mut nns);
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}
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}
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