- Create global wrapper script in /usr/local/bin/rag-mini
- Automatically handles virtual environment activation
- Suppress virtual environment warnings when using global wrapper
- Update installation scripts to install global wrapper automatically
- Add comprehensive timing documentation (2-3 min fast, 5-10 min slow internet)
- Add agent warnings for background process execution
- Update all documentation with realistic timing expectations
- Fix README commands to use correct syntax (rag-mini init -p .)
Major improvements:
- Users can now run 'rag-mini' from anywhere without activation
- Installation creates transparent global command automatically
- No more virtual environment complexity for end users
- Comprehensive agent/CI/CD guidance with timeout warnings
- Complete documentation consistency across all files
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Preserve whitespace and newlines in streaming responses
- Clean thinking tags from final LLM responses
- Add lazy initialization to _call_ollama method
- Improve Windows installer to handle existing virtual environments
- Add better error reporting for import failures
These fixes address formatting corruption in numbered lists and
improve installer reliability when dependencies already exist.
This comprehensive update enhances user experience with several key improvements:
## Enhanced Streaming & Thinking Display
- Implement real-time streaming with gray thinking tokens that collapse after completion
- Fix thinking token redisplay bug with proper content filtering
- Add clear "AI Response:" headers to separate thinking from responses
- Enable streaming by default for better user engagement
- Keep thinking visible for exploration, collapse only for suggested questions
## Natural Conversation Responses
- Convert clunky JSON exploration responses to natural, conversational format
- Improve exploration prompts for friendly, colleague-style interactions
- Update summary generation with better context handling
- Eliminate double response display issues
## Model Reference Updates
- Remove all llama3.2 references in favor of qwen3 models
- Fix non-existent qwen3:3b references, replace with proper model names
- Update model rankings to prioritize working qwen models across all components
- Ensure consistent model recommendations in docs and examples
## Cross-Platform Icon Integration
- Add desktop icon setup to Linux installer with .desktop entry
- Add Windows shortcuts for desktop and Start Menu integration
- Improve installer user experience with visual branding
## Configuration & Navigation Fixes
- Fix "0" option in configuration menu to properly go back
- Improve configuration menu user-friendliness
- Update troubleshooting guides with correct model suggestions
These changes significantly improve the beginner experience while maintaining
technical accuracy and system reliability.
- Add Windows installer (install_windows.bat) and launcher (rag.bat)
- Enhance both Linux and Windows installers with intelligent Qwen3 model detection and setup
- Fix installation script continuation issues and improve user guidance
- Update README with side-by-side Linux/Windows commands
- Auto-save model preferences to config.yaml for consistent experience
Makes FSS-Mini-RAG fully cross-platform with zero-friction Windows adoption 🚀
