David Snelling
d5386a3643
Major enhancements to Brainy vector + graph database: Core Features (FREE): - Cortex CLI: Complete command center for database management - Neural Import: AI-powered data understanding and entity extraction - Augmentation Pipeline: 8-stage extensible processing system - Brainy Chat: Natural language interface to query data - Performance monitoring and health diagnostics - Backup/restore with compression and encryption - Webhook system for enterprise integrations Infrastructure: - Clean separation of core (open source) and premium features - Lazy-loaded augmentations with zero performance impact - Comprehensive documentation for all new features - Full TypeScript support with proper interfaces Performance: - Zero impact on core operations (proven with benchmarks) - 2-3% performance improvement from better caching - Package size remains at 643KB (no bloat) Security: - Removed sensitive files from Git history - Added .gitignore rules for PDFs and private files - Premium features in separate private repository Premium Features (separate repository): - Quantum Vault connectors (Notion, Salesforce, Slack, Asana) - Licensing system for premium augmentations - Revenue projections and business model This commit maintains 100% backward compatibility while adding powerful enterprise features as progressive enhancements. |
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| api | ||
| api-reference | ||
| archive | ||
| augmentations | ||
| deployment | ||
| development | ||
| examples | ||
| getting-started | ||
| guides | ||
| optimization-guides | ||
| quantum-vault-preview | ||
| technical | ||
| tools/claude-commit | ||
| user-guides | ||
| ADAPTIVE_PERFORMANCE.md | ||
| brainy-distributed-enhancements-revised.md | ||
| brainy-distributed-enhancements.md | ||
| cortex.md | ||
| distributed-deployment-scenario.md | ||
| distributed-usage-guide.md | ||
| docker-deployment.md | ||
| PERFORMANCE-IMPACT.md | ||
| PERFORMANCE_AND_LOGGING_FIXES.md | ||
| PERFORMANCE_FEATURES.md | ||
| quick-start-docker.md | ||
| README.md | ||
| 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.