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The 150x PGVector Speedup
Reviewing a year of work to make pgvector much faster while supporting high-relevancy searches!
Some of these benchmarks did contain info that identified areas we can continue to improve both PostgreSQL and pgvector, but I was generally disappointed in the methodology used to make these comparisons. I have a separate blog post planned for how to best present benchmark studies between different systems for vector similarity search ( it’s a topic I’m interested in). For this specific dataset, I’d recommend rerunning it with different HNSW build parameters to see if we can improve query performance numbers at higher levels of recall, but that’s an experiment for another day.
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