Add duplicate filtering by document ID in HNSWlib search #623
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This commit modifies HNSWlib to filter duplicate document IDs during KNN search, ensuring only one embedding per unique document ID is returned. Key changes include:
internal_id_to_doc_id_
vector toHierarchicalNSW
to map internal IDs to document IDs, populated inaddPoint
.getMetadata
method to retrieve document IDs.VisitedList
withseen_doc_ids
set to track seen document IDs thread-locally, avoiding mutex contention.searchBaseLayerST
to skip candidates with already-seen document IDs usingvl->is_doc_seen(doc_id)
.visited_metadata_
andvisited_metadata_lock_
as filtering is now handled byVisitedList
. The duplicate filtering works as intended, thoughknnQuery
may raise aRuntimeError
ifk
exceeds the number of unique document IDs due to result array shape constraints. Tests for basic filtering, single ID, and large datasets pass, while empty index and insufficient IDs cases require further handling.Files modified:
VisitedList
for document ID tracking.