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https://github.com/meilisearch/MeiliSearch
synced 2024-11-23 05:14:27 +01:00
Fix the vector query part by using the correct universe
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63bfe1cee2
commit
29d8268c94
@ -376,8 +376,40 @@ pub fn execute_search(
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check_sort_criteria(ctx, sort_criteria.as_ref())?;
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let mut located_query_terms = None;
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if let Some(vector) = vector {
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let mut searcher = Searcher::new();
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let hnsw = ctx.index.vector_hnsw(ctx.txn)?.unwrap_or_default();
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let ef = hnsw.len().min(100);
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let mut dest = vec![Neighbor { index: 0, distance: 0 }; ef];
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let vector = normalize_vector(vector.clone());
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let neighbors = hnsw.nearest(&vector, ef, &mut searcher, &mut dest[..]);
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let mut docids = Vec::new();
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let mut uniq_docids = RoaringBitmap::new();
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for Neighbor { index, distance: _ } in neighbors.iter() {
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let index = BEU32::new(*index as u32);
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let docid = ctx.index.vector_id_docid.get(ctx.txn, &index)?.unwrap().get();
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if universe.contains(docid) && uniq_docids.insert(docid) {
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docids.push(docid);
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if docids.len() == (from + length) {
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break;
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}
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}
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}
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// return the nearest documents that are also part of the candidates
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// along with a dummy list of scores that are useless in this context.
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let docids: Vec<_> = docids.into_iter().skip(from).take(length).collect();
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return Ok(PartialSearchResult {
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candidates: universe,
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document_scores: vec![Vec::new(); docids.len()],
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documents_ids: docids,
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located_query_terms: None,
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});
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}
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let mut located_query_terms = None;
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let query_terms = if let Some(query) = query {
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// We make sure that the analyzer is aware of the stop words
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// this ensures that the query builder is able to properly remove them.
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@ -445,37 +477,8 @@ pub fn execute_search(
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};
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let BucketSortOutput { docids, scores, mut all_candidates } = bucket_sort_output;
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let fields_ids_map = ctx.index.fields_ids_map(ctx.txn)?;
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let docids = match vector {
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Some(vector) => {
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// return the nearest documents that are also part of the candidates.
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let mut searcher = Searcher::new();
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let hnsw = ctx.index.vector_hnsw(ctx.txn)?.unwrap_or_default();
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let ef = hnsw.len().min(100);
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let mut dest = vec![Neighbor { index: 0, distance: 0 }; ef];
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let vector = normalize_vector(vector.clone());
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let neighbors = hnsw.nearest(&vector, ef, &mut searcher, &mut dest[..]);
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let mut docids = Vec::new();
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for Neighbor { index, distance: _ } in neighbors.iter() {
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let index = BEU32::new(*index as u32);
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let docid = ctx.index.vector_id_docid.get(ctx.txn, &index)?.unwrap().get();
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if universe.contains(docid) {
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docids.push(docid);
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if docids.len() == (from + length) {
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break;
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}
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}
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}
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docids.into_iter().skip(from).take(length).collect()
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}
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// return the search docids if the vector field is not specified
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None => docids,
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};
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// The candidates is the universe unless the exhaustive number of hits
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// is requested and a distinct attribute is set.
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if exhaustive_number_hits {
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