- 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>
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.
