Major optimization - all type embeddings now built into package:
Build-time generation:
- Created scripts/buildTypeEmbeddings.ts to generate all type embeddings
- Generates embeddings for 31 NounTypes + 40 VerbTypes at build time
- Stores as base64-encoded binary data in embeddedTypeEmbeddings.ts
- Added check script to rebuild only when needed
Updated all consumers:
- NeuralEntityExtractor: loads pre-computed embeddings (instant)
- BrainyTypes: loads pre-computed embeddings (instant init)
- NaturalLanguageProcessor: loads pre-computed embeddings (instant init)
Build process:
- Added npm run build:types to generate embeddings
- Added npm run build:types:if-needed for conditional rebuild
- Integrated into main build pipeline
- Auto-rebuilds only when types or build script change
Benefits:
- Zero runtime cost - embeddings loaded instantly
- Survives all container restarts
- All 71 types always available (31 nouns + 40 verbs)
- ~100KB memory overhead for permanent performance gain
- Eliminates 5-10 second initialization delay
This completes the type embedding optimization started in v3.32.5
Major performance improvement for large file imports:
- Neural entity extraction now only initializes requested types
- Reduces initialization from 31 types to 2-5 types for concept extraction
- Fixed apparent hang in Excel/PDF/Markdown imports with concept extraction
Technical changes:
- Modified NeuralEntityExtractor.initializeTypeEmbeddings() to accept requestedTypes parameter
- Updated extract() to pass options.types to initialization
- Re-enabled concept extraction by default in SmartExcelImporter
- Added enhanced GCS diagnostic logging for initialization troubleshooting
Performance impact:
- Small files (<100 rows): 5-20 seconds (was: appeared to hang)
- Medium files (100-500 rows): 20-100 seconds (was: timeout)
- Large files (500+ rows): Can be disabled if needed
Fixes critical production issue where brain.extractConcepts() caused timeouts
