rvf-index
Progressive HNSW indexing with tiered Layer A/B/C search for RuVector Format.
Overview
rvf-index implements a Hierarchical Navigable Small World (HNSW) index optimized for the RVF storage model:
- Layer A -- hot vectors, full-precision, in-memory graph
- Layer B -- warm vectors, quantized, memory-mapped
- Layer C -- cold vectors, compressed, on-disk with lazy loading
- Progressive build -- index grows incrementally without full rebuilds
Usage
[dependencies]
rvf-index = "0.1"
Features
std(default) -- enablestdsupportsimd-- enable SIMD-accelerated distance computations
License
MIT OR Apache-2.0