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Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- **Note**: You can also use pip if you prefer, but uv is recommended for better performance and more reliable dependency management.\n- uv tool install \"lightrag-hku[api]\"\n- git clone https://github.com/HKUDS/LightRAG.git\n- make dev\n\nRequirements and caveats from upstream:\n- \n- [2026.03]🎯[New Feature]: Introduced a setup wizard. Support for local deployment of embedding, reranking, and storage backends via Docker.\n- # python -m venv .venv\n\nBasic usage or getting-started notes:\n- **📦 Offline Deployment**: For offline or air-gapped environments, see the [Offline Deployment Guide](./docs/OfflineDeployment.md) for instructions on pre-installing all dependencies and cache files.\n- The LightRAG Server is designed to provide Web UI and API support. 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