[WIP] Merge feature-branch: Major improvements, Docker support, enhanced LeanRAG frameworkFeature branch #3
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…rsions that work with 3.11
…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 <copilot@github.com>
… 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.
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Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.
Original description:
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.