soulcraft/brainy
1
0
Fork 0
Code Issues 1 Pull requests Projects Releases 335 Packages Wiki Activity Actions

docs: update CHANGELOG with v7.1.0 API details and performance notes

Browse source
This commit is contained in:
David Snelling 2026-01-06 15:03:02 -08:00
parent 61100bdc9d
commit 493b840527
1 changed files with 32 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

34
CHANGELOG.md
View file

@ -2,9 +2,39 @@
All notable changes to this project will be documented in this file. See [standard-version](https://github.com/conventional-changelog/standard-version) for commit guidelines.
### [7.1.0](https://github.com/soulcraftlabs/brainy/compare/v7.0.1...v7.1.0) (2026-01-06)
## [7.1.0](https://github.com/soulcraftlabs/brainy/compare/v7.0.1...v7.1.0) (2026-01-06)
- feat: add new embedding and analysis APIs for v7.1.0 (d8514ab)
### Features
**6 New Public APIs** leveraging the Candle WASM embedding engine and optimized indexes:
| API | Description | Performance |
|-----|-------------|-------------|
| `embedBatch(texts)` | Batch embed multiple texts | Batch WASM processing - avoids N separate JS↔WASM calls |
| `similarity(textA, textB)` | Semantic similarity score (0-1) | Single call vs manual embed + embed + cosine |
| `indexStats()` | Comprehensive index statistics | O(1) - aggregates pre-computed stats |
| `neighbors(entityId, options)` | Graph traversal with filters | O(log n) - LSM-tree with bloom filters, sub-5ms |
| `findDuplicates(options)` | Find semantic duplicates | O(k log n) - uses HNSW for ANN search |
| `cluster(options)` | Cluster by similarity | O(k log n) - greedy algorithm with HNSW |
### Performance Stack (v7.0.0+)
The new APIs leverage the optimized infrastructure introduced in v7.0.0:
| Component | Technology | Benefit |
|-----------|------------|---------|
| **Embeddings** | Candle WASM (Rust) | 93MB binary with embedded MiniLM-L6-v2, zero downloads |
| **Vector Search** | HNSW Index | O(log n) approximate nearest neighbor |
| **Graph Traversal** | LSM-tree + Bloom Filters | 90% of queries skip disk I/O, sub-5ms lookups |
| **Metadata Filtering** | RoaringBitmap32 | Compressed bitmaps for fast AND/OR operations |
### Migration from v6.x
v7.0.0 introduced **breaking changes** to the embedding system:
- Removed: `onnxruntime-node` dependency (was 200MB+ with external model downloads)
- Added: Candle WASM with embedded model weights (93MB, zero-config)
- Removed: Semantic type inference (NLP-based type detection)
- Works in: Node.js, Bun, Bun --compile, browsers
### [7.0.1](https://github.com/soulcraftlabs/brainy/compare/v7.0.0...v7.0.1) (2026-01-06)