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brainy/CHANGELOG.md
David Snelling 5f862bad98 feat: implement zero-config system with Node.js 22 compatibility 
- Add comprehensive zero-config preset system (production, development, minimal)
- Implement intelligent auto-configuration for models and storage
- Add Node.js version enforcement for ONNX Runtime stability
- Force single-threaded ONNX operations to prevent V8 HandleScope crashes
- Create extensible configuration architecture
- Add 14 distributed system presets for enterprise deployments
- Include detailed documentation and migration guides

BREAKING CHANGE: Now requires Node.js 22.x LTS for optimal stability
2025-08-29 15:39:07 -07:00

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Changelog

All notable changes to this project will be documented in this file. See standard-version for commit guidelines.

2.10.0 (2025-08-29)

2.8.0 (2025-08-29)

[2.7.4] - 2025-08-29

Fixed

  • Use fp32 models consistently everywhere to ensure compatibility
  • Changed default dtype from q8 to fp32 across all embedding implementations
  • Ensures the exact same model (model.onnx) is used everywhere
  • Prevents 404 errors when looking for quantized models that don't exist on CDN
  • Maintains data compatibility across all Brainy instances

[2.7.3] - 2025-08-29

Fixed

  • Allow automatic model downloads without requiring BRAINY_ALLOW_REMOTE_MODELS environment variable
  • Models now download automatically when not present locally
  • Fixed environment variable check to only block downloads when explicitly set to 'false'

[2.0.0] - 2025-08-26

🎉 Major Release - Triple Intelligence™ Engine

This release represents a complete evolution of Brainy with groundbreaking features and performance improvements.

Added

  • Triple Intelligence™ Engine: Unified Vector + Metadata + Graph search in one API
  • Natural Language Processing: 220+ pre-computed NLP patterns for instant understanding
  • Universal Memory Manager: Worker-based embeddings with automatic memory management
  • Zero Configuration: Everything works instantly with no setup required
  • Brain Cloud Integration: Connect to soulcraft.com for team sync and persistent memory
  • Augmentation System: 19 production-ready augmentations for extended capabilities
  • CLI Enhancements: Complete command-line interface with all API methods
  • New find() API: Natural language queries with context understanding
  • OPFS Storage: Browser-native storage support
  • S3 Storage: Production-ready cloud storage adapter
  • Graph Relationships: Navigate connected knowledge with addVerb()
  • Cursor Pagination: Efficient handling of large result sets
  • Automatic Caching: Intelligent result and embedding caching

Changed

  • API Consolidation: 15+ search methods → 2 clean APIs (search() and find())
  • Search Signature: From search(query, limit, options) to search(query, options)
  • Result Format: Now returns full objects with id, score, content, and metadata
  • Storage Configuration: Moved under storage option with type-specific settings
  • Performance: O(log n) metadata filtering with binary search
  • Memory Usage: Reduced from 200MB to 24MB baseline
  • Search Latency: Improved from 50ms to 3ms average

Fixed

  • Circular dependency in Triple Intelligence system
  • Memory leaks in embedding generation
  • Worker thread communication timeouts
  • Metadata index performance bottlenecks
  • TypeScript compilation errors (153 → 0)
  • Storage adapter consistency issues

Deprecated

  • Individual search methods (searchByVector, searchByNounTypes, etc.)
  • Three-parameter search signature
  • Direct storage type configuration

Removed

  • Legacy delegation pattern
  • Redundant search method implementations
  • Unused dependencies

Security

  • Improved input sanitization
  • Safe metadata filtering
  • Secure storage adapter implementations

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[2.0.0] - 2024-08-22

🚀 Major Features

Triple Intelligence Engine

  • NEW: Unified query system combining vector similarity, graph relationships, and field filtering
  • NEW: Cross-intelligence optimization - queries automatically use the most efficient combination
  • NEW: Natural language query processing with intent recognition

Advanced Indexing Systems

  • NEW: HNSW indexing for sub-millisecond vector search
  • NEW: Field indexing with O(1) metadata lookups
  • NEW: Graph pathfinding with multiple algorithms (Dijkstra, PageRank, BFS/DFS)
  • NEW: Metadata index manager for intelligent query optimization

Storage & Performance

  • NEW: Universal storage adapters (FileSystem, S3, OPFS, Memory)
  • NEW: Smart caching with LRU and intelligent cache invalidation
  • NEW: Streaming data processing for large datasets
  • NEW: Write-Ahead Logging (WAL) for data integrity

Developer Experience

  • NEW: Comprehensive CLI with interactive mode
  • NEW: Brain Patterns Query Language (MongoDB-compatible syntax)
  • NEW: 220 embedded natural language patterns for query understanding
  • NEW: Full TypeScript support with advanced type definitions

🔧 API Changes

Breaking Changes

  • CHANGED: search() now returns {id, score, content, metadata} objects instead of arrays
  • CHANGED: Storage configuration moved to storage option in constructor
  • CHANGED: Vector search results include similarity scores as objects
  • CHANGED: Metadata filtering uses new optimized field indexes

New APIs

  • ADDED: brain.find() - MongoDB-style queries with semantic extensions
  • ADDED: brain.cluster() - Semantic clustering functionality
  • ADDED: brain.findRelated() - Relationship discovery and traversal
  • ADDED: brain.statistics() - Performance and usage analytics

🏗️ Architecture

Core Systems

  • NEW: Triple Intelligence architecture unifying three search paradigms
  • NEW: Augmentation system for extensible functionality
  • NEW: Entity registry for intelligent data deduplication
  • NEW: Pipeline processing for complex data transformations

Performance Optimizations

  • IMPROVED: 10x faster metadata filtering using specialized indexes
  • IMPROVED: Memory usage optimization with embedded patterns
  • IMPROVED: Query optimization with smart execution planning
  • IMPROVED: Batch processing for high-throughput scenarios

📚 Documentation & Testing

  • NEW: Comprehensive test suite with 50+ tests covering all features
  • NEW: Professional documentation with clear examples
  • NEW: Migration guide for 1.x users
  • NEW: API reference with TypeScript signatures

🐛 Bug Fixes

  • FIXED: Memory leaks in pattern matching system
  • FIXED: Vector dimension mismatches in multi-model scenarios
  • FIXED: Infinite recursion in graph traversal edge cases
  • FIXED: Race conditions in concurrent access scenarios
  • FIXED: Edge cases in field filtering with complex nested queries

💔 Removed

  • REMOVED: Legacy query history (replaced with LRU cache)
  • REMOVED: Deprecated 1.x storage format (auto-migration provided)
  • REMOVED: Debug logging in production builds

[1.6.0] - 2024-08-15

Added

  • Enhanced vector operations with better similarity scoring
  • Improved metadata filtering capabilities
  • Basic graph relationship support
  • CLI improvements for better user experience

Fixed

  • Vector search accuracy improvements
  • Storage stability enhancements
  • Memory usage optimizations

[1.5.0] - 2024-07-20

Added

  • OPFS (Origin Private File System) support for browsers
  • Enhanced TypeScript definitions
  • Better error handling and reporting

Changed

  • Improved API consistency across storage adapters
  • Enhanced test coverage

[1.0.0] - 2024-06-01

Added

  • Initial stable release
  • Core vector database functionality
  • File system storage adapter
  • Basic CLI interface
  • TypeScript support

Migration Guides

Migrating from 1.x to 2.0

See MIGRATION.md for detailed migration instructions including:

  • API changes and new patterns
  • Storage format updates
  • Configuration changes
  • New features and capabilities