An objectstore-native vector database for approximate nearest neighbor (ANN) search. Built on SlateDB with a SPANN-style architecture: cluster centroids in memory for fast navigation, posting lists and vector data on disk for billion-scale capacity.
- SPANN index: Memory-efficient ANN search with configurable centroid ratio
- Metadata filtering: Inverted indexes for hybrid queries combining similarity and predicates
- Incremental updates: LIRE-style rebalancing maintains index quality without global rebuilds
- Roaring bitmaps: Compressed posting lists for fast set operations
See rfcs/0001-storage.md for the storage design.