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  • 1 commit
  • 5 files changed
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Commits on Feb 22, 2026

  1. feat(ivf): add IVF index with memory-capped preload 

    Implement IVF (Inverted File) indexing for approximate nearest neighbor
search. Vectors are partitioned into clusters via k-means, and queries
probe only the nearest clusters for a configurable speed/recall tradeoff.

Key additions:
- vector_ivf_build: k-means clustering with nlist/nprobe/max_memory opts
- vector_ivf_preload: loads clusters into memory within a budget (default
  100MB), non-preloaded clusters fall back to disk at query time
- vector_ivf_scan: hybrid top-k and streaming search across preloaded
  (memory) and non-preloaded (disk) clusters
- vector_ivf_cleanup: frees memory and drops shadow table
- Supports F32, F16, BF16, I8, U8 vector types
- Metadata (nlist, nprobe, max_memory) persisted via sqlite_serialize

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    @marcobambini @claude
    marcobambini and claude committed Feb 22, 2026
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