feat: Add comprehensive Windows compatibility and enhanced LLM model setup 🚀 Major cross-platform enhancement making FSS-Mini-RAG fully Windows and Linux compatible ## Windows Compatibility - **New Windows installer**: `install_windows.bat` - rock-solid, no-hang installation - **Simple Windows launcher**: `rag.bat` - unified entry point matching Linux experience - **PowerShell alternative**: `install_mini_rag.ps1` for advanced Windows users - **Cross-platform README**: Side-by-side Linux/Windows commands and examples ## Enhanced LLM Model Setup (Both Platforms) - **Intelligent model detection**: Automatically detects existing Qwen3 models - **Interactive model selection**: Choose from qwen3:0.6b, 1.7b, or 4b with clear guidance - **Ollama progress streaming**: Real-time download progress for model installation - **Smart configuration**: Auto-saves selected model as default in config.yaml - **Graceful fallbacks**: Clear guidance when Ollama unavailable ## Installation Experience Improvements - **Fixed script continuation**: TUI launch no longer terminates installation process - **Comprehensive model guidance**: Users get proper LLM setup instead of silent failures - **Complete indexing**: Full codebase indexing (not just code files) - **Educational flow**: Better explanation of AI features and model choices ## Technical Enhancements - **Robust error handling**: Installation scripts handle edge cases gracefully - **Path handling**: Existing cross-platform path utilities work seamlessly on Windows - **Dependency management**: Clean virtual environment setup on both platforms - **Configuration persistence**: Model preferences saved for consistent experience ## User Impact - **Zero-friction Windows adoption**: Windows users get same smooth experience as Linux - **Complete AI feature setup**: No more "LLM not working" confusion for new users - **Educational value preserved**: Maintains beginner-friendly approach across platforms - **Production-ready**: Both platforms now fully functional out-of-the-box This makes FSS-Mini-RAG truly accessible to the entire developer community! 🎉