Major fixes:
- Fix model selection to prioritize qwen3:1.7b instead of qwen3:4b for testing
- Correct context length from 80,000 to 32,000 tokens (proper Qwen3 limit)
- Implement content-preserving safeguards instead of dropping responses
- Fix all test imports from claude_rag to mini_rag module naming
- Add virtual environment warnings to all test entry points
- Fix TUI EOF crash handling with proper error handling
- Remove warmup delays that were causing startup lag and unwanted model calls
- Fix command mappings between bash wrapper and Python script
- Update documentation to reflect qwen3:1.7b as primary recommendation
- Improve TUI box alignment and formatting
- Make language generic for any documents, not just codebases
- Add proper folder names in user feedback instead of generic terms
Technical improvements:
- Unified model rankings across all components
- Better error handling for missing dependencies
- Comprehensive testing and validation of all fixes
- All tests now pass and system is deployment-ready
All major crashes and deployment issues resolved.
- Changed primary model recommendation from qwen3:1.7b to qwen3:4b
- Added Q8 quantization info in technical docs for production users
- Fixed method name error: get_embedding_info() -> get_status()
- Updated all error messages and test files with new recommendations
- Maintained beginner-friendly options (1.7b still very good, 0.6b surprisingly good)
- Added explanation of why small models work well with RAG context
- Comprehensive testing completed - system ready for clean release
Complete rebrand to eliminate any Claude/Anthropic references:
Directory Changes:
- claude_rag/ → mini_rag/ (preserving git history)
Content Changes:
- Replaced 930+ Claude references across 40+ files
- 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
Testing Changes:
- All tests updated to use mini_rag imports
- Integration tests verify new module structure
This ensures complete independence from Claude/Anthropic
branding while maintaining all functionality and git history.
- Add user confirmation before stopping models for optimal mode switching
- Clean separation: synthesis mode never uses thinking, exploration always does
- Add intelligent restart detection based on response quality heuristics
- Include helpful guidance messages suggesting exploration mode for deep analysis
- Default synthesis mode to no-thinking for consistent fast responses
- Handle graceful fallbacks when model stop fails or user declines
- Provide clear explanations for why model restart improves thinking quality
- Create separate explore mode with thinking enabled for debugging/learning
- Add lazy loading with LLM warmup using 'testing, just say "hi" <no_think>'
- Implement context-aware conversation memory across questions
- Add interactive CLI with help, summary, and session management
- Enable Qwen3 thinking mode toggle for experimentation
- Support multi-turn conversations for better debugging workflow
- Clean separation between fast synthesis and deep exploration modes
🔧 Integration Updates
- Added --synthesize flag to main rag-mini CLI
- Updated README with synthesis examples and 10 result default
- Enhanced demo script with 8 complete results (was cutting off at 5)
- Updated rag-tui default from 5 to 10 results
- Updated rag-mini-enhanced script defaults
📈 User Experience Improvements
- All components now consistently default to 10 results
- Demo shows complete 8-result workflow with multi-line previews
- Documentation reflects new AI analysis capabilities
- Seamless integration preserves existing workflows
Users get more comprehensive results by default and can optionally
add intelligent AI analysis with a simple --synthesize flag!
