…patibility

✨ Features:
- Add automated installation script (install.sh) with Python version selection
- Add full installation script (install-full.sh) for Python 3.10 compatibility
- Support flexible Python versions (3.10, 3.11, 3.12) via command-line args

🔧 Improvements:
- Update nano-graphrag to use latest version with Python 3.11+ support
- Enhanced error handling and user guidance in installation scripts
- Better dependency management with optional packages
- Comprehensive installation verification with import testing

📦 Installation Options:
- ./install.sh          # Default Python 3.11
- ./install.sh 3.12     # Use Python 3.12
- ./install-full.sh     # Python 3.10 for maximum compatibility

🐛 Fixes:
- Resolve nano-graphrag Python compatibility issues
- Improve pyproject.toml dependency management
- Add proper error handling for failed package installations

Co-authored-by: GitHub Copilot <[email protected]>

… enhanced functionality

🚀 New Features:
- Add Docker support with MySQL container setup (Dockerfile.mysql, docker-compose.yml)
- Add comprehensive MySQL Docker setup documentation (MYSQL_DOCKER_README.md)
- Add new configuration templates and examples for CommonKG
- Add test entities configuration for small-scale testing
- Add comprehensive logging system for knowledge graph creation
- Add new dataset processing capabilities with mix_chunk support

🔧 Improvements:
- Enhanced database utilities with better MySQL connection handling
- Improved code formatting and structure across multiple modules
- Better error handling and database name validation
- Enhanced JSONL file format support in chunk processing
- Improved search functionality with optimized node retrieval
- Better path handling for cross-platform compatibility

📊 Data Processing:
- Add new entity and relation processing capabilities
- Enhanced triple extraction and deduplication
- Improved community detection and clustering
- Better text unit aggregation with configurable parameters
- Enhanced vector search integration with Milvus

🛠️ Technical Enhancements:
- Code cleanup and formatting improvements across all modules
- Better separation of concerns in database operations
- Enhanced configuration management
- Improved file I/O operations with better format detection
- Better memory management in large dataset processing

📁 Project Structure:
- Add proper Python package initialization (__init__.py)
- Organize configuration files with examples and templates
- Better separation of test and production configurations
- Enhanced logging directory structure

This commit represents a significant enhancement to the LeanRAG framework, making it more robust, scalable, and easier to deploy with Docker support while maintaining backward compatibility.