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## New Features - HNSW Integration: O(log n) similarity search replaces O(n²) brute force (10-50x speedup) - Similarity Cache: 2-3x speedup for repeated similarity queries - Batch ONNX Embeddings: Chunked processing with progress callbacks - Shared Utils Module: cosine_similarity, euclidean_distance, normalize_vector - Auto-connect by Embeddings: CoherenceEngine creates edges from vector similarity ## Performance Improvements - 8.8x faster batch vector insertion (parallel processing) - 10-50x faster similarity search (HNSW vs brute force) - 2.9x faster similarity computation (SIMD acceleration) - 2-3x faster repeated queries (similarity cache) ## Files Changed - coherence.rs: HNSW integration, new CoherenceConfig fields - optimized.rs: Similarity cache implementation - utils.rs: New shared utility functions - api_clients.rs: Batch embedding methods (embed_batch_chunked, embed_batch_with_progress) - README.md: Documented all new features and configuration options Published as ruvector-data-framework v0.3.0 on crates.io 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| api_client_demo.rs | ||
| arxiv_discovery.rs | ||
| biorxiv_discovery.rs | ||
| coherence_forecasting_demo.rs | ||
| cross_domain_discovery.rs | ||
| crossref_demo.rs | ||
| cut_aware_demo.rs | ||
| discovery_hunter.rs | ||
| dynamic_mincut_benchmark.rs | ||
| dynamic_mincut_demo.rs | ||
| economic_discovery.rs | ||
| export_demo.rs | ||
| genomics_discovery.rs | ||
| geospatial_demo.rs | ||
| hnsw_demo.rs | ||
| medical_discovery.rs | ||
| ml_clients_demo.rs | ||
| multi_domain_discovery.rs | ||
| news_social_demo.rs | ||
| optimized_benchmark.rs | ||
| optimized_runner.rs | ||
| patent_discovery.rs | ||
| physics_discovery.rs | ||
| README_OPTIMIZED_RUNNER.md | ||
| README_REAL_DATA.md | ||
| real_data_discovery.rs | ||
| realtime_feeds.rs | ||
| streaming_demo.rs | ||
| visualization_demo.rs | ||
| wiki_discovery.rs | ||