David Snelling
33c6b06649
- Add incremental sorted index updates during CRUD operations for consistent <5ms range queries - Implement parallel search optimization with vector, metadata, and graph intelligence fusion - Fix metadata-only query handling to properly return results without vector search - Fix NLP recursive call issue by using embed() instead of add() - Add cardinality tracking for smart index optimization - Store entity data in metadata for proper retrieval - Add comprehensive performance documentation This improves query performance from O(n) to O(log n) for range queries and ensures consistent fast performance without lazy loading delays. |
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| .. | ||
| buildEmbeddedPatterns.ts | ||
| check-patterns.cjs | ||
| create-models-release.sh | ||
| download-models.cjs | ||
| ensure-models.js | ||
| prepare-models.js | ||
| setup-github-models.sh | ||
| test-with-memory.sh | ||
| update-augmentations-metadata.sh | ||