- SQ8 scalar quantization (8-bit) for 4x vector storage reduction - Lazy vector loading: evict float32 vectors after graph construction, load on-demand from storage via UnifiedCache - Two-phase search: over-retrieve with SQ8 approximate distances, rerank top candidates with exact float32 distances - Configuration surface: hnsw.quantization and hnsw.vectorStorage in BrainyConfig - All features disabled by default (zero behavior change for existing users) - 27 new tests covering quantization accuracy, lazy loading, reranking - Remove GitHub Actions CI (build locally, cortex CI handles native builds) |
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| .. | ||
| lazy-vectors.test.ts | ||
| quantization.test.ts | ||