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Tune pgvector: HNSW vs IVFFlat, Recall and Slow Vector Queries

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AI & Agents advanced 8 min read $0.01 Updated 2026-10-19

Tuning pgvector: distance operators and matching index ops, HNSW vs IVFFlat, m and ef_construction, hnsw.ef_search, iterative scans with filters, normalization, memory for index builds, EXPLAIN checks and measuring recall.

Vector search in Postgres is slow or returns poor matches. Pick the right operator class, build an HNSW index, tune ef_search, fix filter plus ANN problems and measure recall against exact results.

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#pgvector#postgres#vector-search#hnsw#embeddings

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