Scaling HNSWs

The author details scaling HNSWs for Redis Vector Sets, including 8-bit quantization for memory efficiency, threaded operations for performance, bidirectional linking for proper deletion, and exposing HNSWs as composable data structures. The implementation achieves 50k ops/sec with 3GB RAM for 3 million Word2Vec entries.