feat: add neural extraction APIs with NounType taxonomy
Add brain.extract() and brain.extractConcepts() methods that use NeuralEntityExtractor with embeddings and sophisticated NounType taxonomy (30+ entity types) for semantic entity and concept extraction. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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> Transform your filesystem into an intelligent knowledge graph where every file is a living entity with semantic understanding, relationships, and AI-powered organization.
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## 🧠 Knowledge Layer Available!
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## 📚 Complete VFS Documentation
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**For advanced features like semantic versioning, persistent entities, and universal concepts, see:**
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- **[Knowledge Layer Overview](../KNOWLEDGE_LAYER_OVERVIEW.md)** - Non-technical introduction
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- **[Knowledge Layer API](KNOWLEDGE_LAYER_API.md)** - Advanced features and capabilities
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- **[Real-World Examples](KNOWLEDGE_LAYER_EXAMPLES.md)** - Complete use cases for stories, APIs, research, and more
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- **[VFS API Guide](VFS_API_GUIDE.md)** - Complete filesystem API reference
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**Essential guides to get started:**
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- **[VFS Core](VFS_CORE.md)** - Complete filesystem architecture and API
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- **[Semantic VFS](SEMANTIC_VFS.md)** - Multi-dimensional file access (6 semantic dimensions)
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- **[Neural Extraction](NEURAL_EXTRACTION.md)** - AI-powered concept and entity extraction
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- **[Examples & Scenarios](VFS_EXAMPLES_SCENARIOS.md)** - Real-world use cases and code
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- **[VFS API Guide](VFS_API_GUIDE.md)** - Complete API reference
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## What is Brainy VFS?
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