Vector Search Indexing Internals: HNSW vs. IVF-PQ in High-Scale Vector Databases
A deep architectural breakdown of Approximate Nearest Neighbor (ANN) search algorithms: Hierarchical Navigable Small World (HNSW) vs. Inverted File with Product Quantization (IVF-PQ), memory overhead, recall-vs-latency tradeoffs, scalar quantization, filtered vector search, and tuning pgvector & Qdrant.