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4 stories

Stories

  • Sliced Wasserstein embeddings + HNSW for color-scheme search over 48k paintings [P]

    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…

    Reddit - r/ML2 min read
  • GPU-Accelerated HNSW Indexing

    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.

    Qdrant12 min read
  • Filtered Vector Search: What ACORN Fixes, and What Fixes ACORN

    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.

    Qdrant10 min read

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