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feat: implement incremental sorted indices and Triple Intelligence find()

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- 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.
This commit is contained in:
David Snelling 2025-09-12 12:36:11 -07:00
parent 2a94fca875
commit bc63d93ea5
9 changed files with 1023 additions and 181 deletions
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2
src/neural/embeddedPatterns.ts
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@ -2,7 +2,7 @@
* 🧠 BRAINY EMBEDDED PATTERNS
*
* AUTO-GENERATED - DO NOT EDIT
* Generated: 2025-09-09T17:55:32.179Z
* Generated: 2025-09-12T17:15:05.777Z
* Patterns: 220
* Coverage: 94-98% of all queries
*