HNSW

The architecture conversation around retrieval-augmented generation continues to evolve beyond simple embedding similarity. This week brings three distinct technical approaches: graph-based associative memory that preserves semantic structure when context windows fill, typed reasoning primitives designed for regulatory audit trails, and geometric pruning algorithms that outperform BLAS implementations at half-million-vector scale.