Crate ext_vector 

ext-vector: HNSW vector index with SIMD distance kernels.

Provides approximate nearest neighbor search through three procedures:

• vector.build(dim, metric?) → initializes HNSW index (metric: “l2” or “cosine”)
• vector.add(id, vector_csv) → inserts a vector, returns {status: STRING}
• vector.search(query_csv, k) → ANN results {id: INT64, distance: DOUBLE}

Uses NEON intrinsics on aarch64 and scalar fallback (auto-vectorized to AVX2) elsewhere. Staging buffer accumulates vectors before bulk-inserting into the live HNSW index.

Modules

distance

SIMD-accelerated distance functions for vector similarity search.

hnsw

HNSW (Hierarchical Navigable Small World) graph index.

staging

Staging buffer for batched HNSW insertions.

Structs

VectorExtension

Vector search extension.