fss-mini-rag-github

3 Commits 14 Branches 0 Tags

Author	SHA1	Message	Date
BobAi	dc866e6ce3	MAJOR: Remove all Claude references and rename to Mini-RAG Complete rebrand for v1.0-simple-search branch: Directory Changes: - claude_rag/ → mini_rag/ (preserving git history) Content Changes: - 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 - Updated all tests to use mini_rag imports This ensures complete independence from Claude/Anthropic branding while maintaining all functionality and git history. Simple branch contains the basic RAG system without LLM features.	2025-08-12 19:27:55 +10:00
BobAi	09157578fb	Clean up inappropriate language for public release Remove unprofessional comments and language from source files to prepare repository for GitHub publication: - cli.py: Replace inappropriate language in docstring - windows_console_fix.py: Use professional technical description - path_handler.py: Replace casual language with proper documentation All functionality remains unchanged - purely cosmetic fixes for professional presentation.	2025-08-12 19:16:37 +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

Author

SHA1

Message

Date

BobAi

dc866e6ce3

MAJOR: Remove all Claude references and rename to Mini-RAG

Complete rebrand for v1.0-simple-search branch:

Directory Changes:
- claude_rag/ → mini_rag/ (preserving git history)

Content Changes:
- 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
- Updated all tests to use mini_rag imports

This ensures complete independence from Claude/Anthropic
branding while maintaining all functionality and git history.

Simple branch contains the basic RAG system without LLM features.

2025-08-12 19:27:55 +10:00

BobAi

09157578fb

Clean up inappropriate language for public release

Remove unprofessional comments and language from source files
to prepare repository for GitHub publication:

- cli.py: Replace inappropriate language in docstring
- windows_console_fix.py: Use professional technical description
- path_handler.py: Replace casual language with proper documentation

All functionality remains unchanged - purely cosmetic fixes
for professional presentation.

2025-08-12 19:16:37 +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