Part III — Implementation Deep-Dive¶
Roll up your sleeves. This section provides hands-on implementation walkthroughs of real vector database components, from a complete HNSW store in Rust to GPU-accelerated quantized search.
Chapters¶
| # | Chapter | Key Topics |
|---|---|---|
| 13 | HNSW Store in Rust | Memory-mapped adjacency lists, unsafe optimizations |
| 14 | PQ-IVF on GPUs | CUDA kernels, fused distance computation |
| 15 | Transactional Schemes | MVCC adaptations, compaction scheduling |
| 16 | Elastic Scaling | Split/merge rebalancing, hotspot mitigation |
| 17 | Benchmark Harness | ANN-Benchmarks, synthetic data, latency suites |
Prerequisites
Chapters 13–14 assume familiarity with Rust and CUDA respectively. Chapter 15 assumes database transaction fundamentals.