3 Commits

Author	SHA1	Message	Date
FSSCoding	f5de046f95	Complete deployment expansion and system context integration ... Major enhancements: • Add comprehensive deployment guide covering all platforms (mobile, edge, cloud) • Implement system context collection for enhanced AI responses • Update documentation with current workflows and deployment scenarios • Fix Windows compatibility bugs in file locking system • Enhanced diagrams with system context integration flow • Improved exploration mode with better context handling Platform support expanded: • Full macOS compatibility verified • Raspberry Pi deployment with ARM64 optimizations • Android deployment via Termux with configuration examples • Edge device deployment strategies and performance guidelines • Docker containerization for universal deployment Technical improvements: • System context module provides OS/environment awareness to AI • Context-aware prompts improve response relevance • Enhanced error handling and graceful fallbacks • Better integration between synthesis and exploration modes Documentation updates: • Complete deployment guide with troubleshooting • Updated getting started guide with current installation flows • Enhanced visual diagrams showing system architecture • Platform-specific configuration examples Ready for extended deployment testing and user feedback.	2025-08-16 12:31:16 +10:00
BobAi	a96ddba3c9	MAJOR: Remove all Claude references and rename to Mini-RAG ... Complete rebrand to eliminate any Claude/Anthropic references: Directory Changes: - claude_rag/ → mini_rag/ (preserving git history) Content Changes: - Replaced 930+ Claude references across 40+ files - Updated all imports: from claude_rag → from mini_rag - Updated all file paths: .claude-rag → .mini-rag - Updated documentation and comments - Updated configuration files and examples Testing Changes: - All tests updated to use mini_rag imports - Integration tests verify new module structure This ensures complete independence from Claude/Anthropic branding while maintaining all functionality and git history.	2025-08-12 19:21:30 +10:00
BobAi	4166d0a362	Initial release: FSS-Mini-RAG - Lightweight semantic code search system ... 🎯 Complete transformation from 5.9GB bloated system to 70MB optimized solution ✨ Key Features: - Hybrid embedding system (Ollama + ML fallback + hash backup) - Intelligent chunking with language-aware parsing - Semantic + BM25 hybrid search with rich context - Zero-config portable design with graceful degradation - Beautiful TUI for beginners + powerful CLI for experts - Comprehensive documentation with 8+ Mermaid diagrams - Professional animated demo (183KB optimized GIF) 🏗️ Architecture Highlights: - LanceDB vector storage with streaming indexing - Smart file tracking (size/mtime) to avoid expensive rehashing - Progressive chunking: Markdown headers → Python functions → fixed-size - Quality filtering: 200+ chars, 20+ words, 30% alphanumeric content - Concurrent batch processing with error recovery 📦 Package Contents: - Core engine: claude_rag/ (11 modules, 2,847 lines) - Entry points: rag-mini (unified), rag-tui (beginner interface) - Documentation: README + 6 guides with visual diagrams - Assets: 3D icon, optimized demo GIF, recording tools - Tests: 8 comprehensive integration and validation tests - Examples: Usage patterns, config templates, dependency analysis 🎥 Demo System: - Scripted demonstration showing 12 files → 58 chunks indexing - Semantic search with multi-line result previews - Complete workflow from TUI startup to CLI mastery - Professional recording pipeline with asciinema + GIF conversion 🛡️ Security & Quality: - Complete .gitignore with personal data protection - Dependency optimization (removed python-dotenv) - Code quality validation and educational test suite - Agent-reviewed architecture and documentation Ready for production use - copy folder, run ./rag-mini, start searching\!	2025-08-12 16:38:28 +10:00