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by pashkinelfe
1021 days ago
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Pgvector 0.5.0 got HNSW indexes that is much faster for AI application than IVF in most cases. We measured pgvector performance in Supabase and present recommendations on its efficient usage. - HNSW preserves index quality even after massive table updates and doesn't need to be rebuilt - HNSW search is several times faster than IVF for high accuracy. For lower accuracy likely even more. - Pgvector/HNSW became faster than qdrant - IVFflat build time decreased two-times in 0.5.0 - HNSW index could be built incrementally, you don't need to add all embeddings before index build |
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