pgvector 0.6.0: 30x faster with parallel index builds

pgvector 0.6.0 was released today, with a significant improvement: parallel builds for HNSW indexes. Building an HNSW index is now up to 30x faster for unlogged tables.

This release is a huge step forward for pgvector, making it easier to tune HNSW build parameters and increase search accuracy and performance.

HNSW indexes in pgvector

We explored how HNSW works in an earlier post, so as a quick recap: HNSW is an algorithm for approximate nearest neighbor search. It uses proximity …

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