brainy/.recovery-workspace/dist-backup-20250910-141917/scripts/precomputePatternEmbeddings.d.ts
David Snelling 8ff382ca3b chore: recovery checkpoint - v3.0 API successfully recovered
CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025
2025-09-10 15:18:04 -07:00

19 lines
706 B
JavaScript

#!/usr/bin/env node
/**
* 🧠 Pre-compute Pattern Embeddings Script
*
* This script pre-computes embeddings for all patterns and saves them to disk.
* Run this once after adding new patterns to avoid runtime embedding costs.
*
* How it works:
* 1. Load all patterns from library.json
* 2. Use Brainy's embedding model to encode each pattern's examples
* 3. Average the example embeddings to get a robust pattern representation
* 4. Save embeddings to patterns/embeddings.bin for instant loading
*
* Benefits:
* - Pattern matching becomes pure math (cosine similarity)
* - No embedding model calls during query processing
* - Patterns load instantly with pre-computed vectors
*/
export {};