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d8177c4177
External knowledge bases on the pgvector provider failed on every search with "operator does not exist: vector <=> double precision[]", so they looked empty to users. This happened regardless of the VECTOR_DB setting. The query embedding was bound as a plain Python list. register_vector only adapts pgvector's own Vector type and numpy arrays, so psycopg sent the list as a float array, which the <=> operator does not accept. Wrapping the embedding in pgvector.Vector sends it as a real vector. Vector is imported from the package root, which works on the pinned pgvector 0.4.2 and on 0.5.x, where the pgvector.psycopg re-export no longer exists. Verified against a pgvector Postgres: before the fix the reported error reproduces; after it, results come back ranked by cosine distance and filtered to the collection, including schema-qualified tables, halfvec columns and 1536-dimension embeddings. Fixes #26663 |
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| .. | ||
| loaders | ||
| models | ||
| vector | ||
| web | ||
| external.py | ||
| utils.py | ||