David Snelling
880b8f74e3
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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| .. | ||
| cache-configuration.md | ||
| hnsw-field-search.md | ||
| intelligent-verb-scoring.md | ||
| json-document-search.md | ||
| metadata-filtering.md | ||
| model-management.md | ||
| offline-model-reliability.md | ||
| optional-model-bundling.md | ||
| per-service-statistics.md | ||
| production-migration-guide.md | ||
| readonly-frozen-modes.md | ||
| service-identification.md | ||