BobAi/Fss-Rag-Mini
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Fss-Rag-Mini/assets/README_icon_placeholder.md
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

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Icon Placeholder

The current icon.svg is a simple placeholder. Here's the design concept:

🔍 Search magnifying glass - Core search functionality
📄 Code brackets - Code-focused system
🧠 Neural network dots - AI/embedding intelligence
📝 Text lines - Document processing

Design Ideas for Final Icon

  • Colors: Blue (#1976d2) for trust/tech, Green (#4caf50) for code, Orange (#ff9800) for AI
  • Elements: Search + Code + AI/Brain + Simplicity
  • Style: Clean, modern, friendly (not intimidating)
  • Size: Works well at 32x32 and 128x128

Suggested Improvements

  1. More polished magnifying glass with reflection
  2. Cleaner code bracket styling
  3. More sophisticated neural network representation
  4. Perhaps a small "mini" indicator to emphasize lightweight nature
  5. Consider a folder or document icon to represent project indexing

The current SVG provides the basic structure and can be refined into a professional icon.