David Snelling
c38c8de10a
Add a new COGNITION augmentation that automatically generates intelligent weight and confidence scores for verb relationships using semantic analysis, frequency patterns, and temporal factors. Key features: - Semantic proximity scoring using entity embeddings - Frequency amplification for repeated relationships - Temporal decay for time-based relationship strength - Learning and adaptation from user feedback - Zero-configuration setup (just enable: true) - Off by default to maintain backward compatibility Integration points: - New intelligentVerbScoring config in BrainyDataConfig - Automatic scoring in addVerb() when weight not provided - Feedback methods: provideFeedbackForVerbScoring(), getVerbScoringStats() - Export/import learning data for persistence - Full augmentation pipeline integration Documentation: - Comprehensive usage guide at /docs/guides/intelligent-verb-scoring.md - Examples for simple and advanced configurations - Learning workflows and troubleshooting Tests: - Complete test coverage for all features - Configuration, semantic scoring, learning, and error handling - Performance and integration testing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| augmentations | ||
| distributed | ||
| errors | ||
| examples | ||
| hnsw | ||
| mcp | ||
| storage | ||
| types | ||
| utils | ||
| augmentationFactory.ts | ||
| augmentationPipeline.ts | ||
| augmentationRegistry.ts | ||
| augmentationRegistryLoader.ts | ||
| brainyData.ts | ||
| browserFramework.ts | ||
| coreTypes.ts | ||
| demo.ts | ||
| index.ts | ||
| pipeline.ts | ||
| sequentialPipeline.ts | ||
| setup.ts | ||
| unified.ts | ||
| worker.js | ||
| worker.ts | ||