Pg_vectorsearch: An index that is faster than pgvector's IVFFlat and HNSW
Article URL: https://github.com/timescale/pg_vectorsearch Comments URL: https://news.ycombinator.com/item?id=50086165 Points: 102 # Comments: 33
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Article URL: https://github.com/timescale/pg_vectorsearch Comments URL: https://news.ycombinator.com/item?id=50086165 Points: 102 # Comments: 33
Palette Atlas (https://itzik123.github.io/PaletteAtlas/) searches public-domain paintings by color scheme. Each image is reduced to 128 colors of equal weight, so the natural distance is the Earth Mover's Distance, which is too slow for nearest-neighbor search over 48,695 items (about 6 ms per…
GPU-Accelerated HNSW Indexing in Qdrant Time: 45 min Level: Intermediate Output: GitHub Since Qdrant v1.13, Qdrant has supported GPU-accelerated Hierarchical Navigable Small World (HNSW) indexing on self-hosted instances.
Filtered vector search breaks when metadata filters turn a healthy nearest-neighbor graph into scattered islands. HNSW’s m parameter controls how many links each point gets. At Qdrant’s default m=16, the one-million-point collection benchmarked below averaged about 21 links per node on layer 0.
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