David Snelling
880b8f74e3
Add a new COGNITION augmentation that automatically generates intelligent weight and confidence scores for verb relationships using semantic analysis, frequency patterns, and temporal factors. Key features: - Semantic proximity scoring using entity embeddings - Frequency amplification for repeated relationships - Temporal decay for time-based relationship strength - Learning and adaptation from user feedback - Zero-configuration setup (just enable: true) - Off by default to maintain backward compatibility Integration points: - New intelligentVerbScoring config in BrainyDataConfig - Automatic scoring in addVerb() when weight not provided - Feedback methods: provideFeedbackForVerbScoring(), getVerbScoringStats() - Export/import learning data for persistence - Full augmentation pipeline integration Documentation: - Comprehensive usage guide at /docs/guides/intelligent-verb-scoring.md - Examples for simple and advanced configurations - Learning workflows and troubleshooting Tests: - Complete test coverage for all features - Configuration, semantic scoring, learning, and error handling - Performance and integration testing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| brainy-distributed-enhancements-revised.md | ||
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| distributed-usage-guide.md | ||
| docker-deployment.md | ||
| PERFORMANCE_AND_LOGGING_FIXES.md | ||
| PERFORMANCE_FEATURES.md | ||
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| STORAGE_MIGRATION_GUIDE.md | ||
Brainy Documentation
Welcome to the comprehensive documentation for Brainy - the intelligent vector graph database with zero-configuration setup and production-scale performance.
📚 Documentation Structure
🚀 Getting Started
Quick setup guides and first steps with Brainy.
- Quick Start Guide - Get up and running in minutes
- Installation Guide - Installation options and requirements
- Environment Setup - Configure your development environment
- First Steps - Your first Brainy application
📖 User Guides
Comprehensive guides for using Brainy features.
- Search and Metadata Guide - Advanced search techniques
- Write-Only Mode - Optimized data ingestion
- Read-Only & Frozen Modes - Immutability control for production
- Per-Service Statistics - Multi-service tracking and monitoring
- Cache Configuration - Memory and caching optimization
- JSON Document Search - Searching within JSON documents
- HNSW Field Search - Field-specific vector search
- Model Management - Managing AI models and embeddings
- Production Migration - Moving to production
⚡ Optimization Guides
Performance optimization and scaling strategies.
- Large-Scale Optimizations - Enterprise-grade performance
- Auto-Configuration System - Zero-config intelligence
- Semantic Partitioning - Intelligent data clustering
- Distributed Search - Parallel processing
- Memory Optimization - Efficient memory usage
- Storage Optimization - S3 and storage strategies
- S3 Migration Guide - Migrating existing data with shared buckets
🔧 API Reference
Complete API documentation and examples.
- Core API - Main BrainyData class methods
- Vector Operations - Vector storage and search
- Graph Operations - Noun and verb relationships
- Configuration API - System configuration options
- Storage Adapters - Universal storage compatibility and custom adapters
- Augmentations API - Extension system
🛠️ Development
Development, testing, and contribution guides.
- Developer Guide - Setting up development environment
- Testing Guide - Running and writing tests
- Documentation Standards - Documentation conventions
- Publishing CLI - CLI package publishing
- Expected Test Messages - Test output reference
🔬 Technical Reference
Deep technical documentation and implementation details.
- Technical Guides Overview - Technical documentation index
- Architecture - System architecture overview
- HNSW Implementation - Vector index details
- Threading - Multi-threading implementation
- Storage Systems - Storage architecture
- Performance Analysis - Performance benchmarks
- Compatibility - Platform compatibility matrix
💡 Examples
Code examples and tutorials.
- Basic Usage - Simple examples to get started
- Advanced Patterns - Complex use cases
- Integration Examples - Third-party integrations
- Performance Examples - Optimization examples
🔍 Troubleshooting
Common issues and solutions.
- Common Issues - Frequently encountered problems
- Performance Issues - Performance troubleshooting
- Environment Issues - Platform-specific problems
- Error Messages - Error code reference
🗺️ Quick Navigation
New to Brainy?
- Installation Guide - Install Brainy
- Quick Start Guide - Your first vector database
- Basic Usage Examples - Simple code examples
Need Performance?
- Large-Scale Optimizations - Enterprise features
- Auto-Configuration - Zero-config setup
- Performance Examples - Optimization patterns
Building Applications?
- API Reference - Complete API documentation
- User Guides - Feature documentation
- Integration Examples - Real-world usage
Contributing?
- Developer Guide - Development setup
- Documentation Standards - Writing docs
- Testing Guide - Testing practices
🔄 Recently Updated
- S3 Migration Guide - NEW: Complete migration guide for shared S3 buckets
- Large-Scale Optimizations - Complete rewrite with auto-configuration
- Quick Start Guide - Updated with zero-config setup
- API Reference - New auto-configuration APIs
📞 Getting Help
- GitHub Issues - Bug reports and feature requests
- Discussions - Community support
- Examples - Code examples and tutorials
📝 Note: This documentation is automatically organized and regularly updated. All guides include practical examples and are tested with the latest version of Brainy.