- 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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| .. | ||
| augmentations | ||
| brainy | ||
| graph | ||
| hnsw | ||
| import | ||
| neural | ||
| performance | ||
| storage | ||
| types | ||
| utils | ||
| versioning | ||
| vfs | ||
| brainy-core.unit.test.ts | ||
| brainy-get-optimization.test.ts | ||
| create-entities-default.test.ts | ||
| fieldTypeInference.test.ts | ||
| plugin.test.ts | ||
| type-filtering.unit.test.ts | ||
| type-matching.unit.test.ts | ||
| workshop-vfs-diagnostic.test.ts | ||