4 Commits

Author SHA1 Message Date
930f53a0fb Major code quality improvements and structural organization
- Applied Black formatter and isort across entire codebase for professional consistency
- Moved implementation scripts (rag-mini.py, rag-tui.py) to bin/ directory for cleaner root
- Updated shell scripts to reference new bin/ locations maintaining user compatibility
- Added comprehensive linting configuration (.flake8, pyproject.toml) with dedicated .venv-linting
- Removed development artifacts (commit_message.txt, GET_STARTED.md duplicate) from root
- Consolidated documentation and fixed script references across all guides
- Relocated test_fixes.py to proper tests/ directory
- Enhanced project structure following Python packaging standards

All user commands work identically while improving code organization and beginner accessibility.
2025-08-28 15:29:54 +10:00
c201b3badd Fix critical deployment issues and improve system reliability
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.
2025-08-15 09:47:15 +10:00
2f2dd6880b Add comprehensive LLM provider support and educational error handling
 Features:
- Multi-provider LLM support (OpenAI, Claude, OpenRouter, LM Studio)
- Educational config examples with setup guides
- Comprehensive documentation in docs/LLM_PROVIDERS.md
- Config validation testing system

🎯 Beginner Experience:
- Friendly error messages for common mistakes
- Educational explanations for technical concepts
- Step-by-step troubleshooting guidance
- Clear next-steps for every error condition

🛠 Technical:
- Extended LLMConfig dataclass for cloud providers
- Automated config validation script
- Enhanced error handling in core components
- Backward-compatible configuration system

📚 Documentation:
- Provider comparison tables with costs/quality
- Setup instructions for each LLM provider
- Troubleshooting guides and testing procedures
- Environment variable configuration options

All configs pass validation tests. Ready for production use.
2025-08-14 16:39:12 +10:00
a96ddba3c9 MAJOR: Remove all Claude references and rename to Mini-RAG
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.
2025-08-12 19:21:30 +10:00