# LightRAG Graph-Based Retrieval-Augmented Generation Framework > LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval. Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers. - Skill: `agentskillexchange/lightrag-graph-based-retrieval-augmented-generation-framewor` (Agent Skill) - Install (CLI): `npx skillmds@latest add agentskillexchange/lightrag-graph-based-retrieval-augmented-generation-framewor` - Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/lightrag-graph-based-retrieval-augmented-generation-framewor/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: agentskillexchange (https://skillmd.com/u/agentskillexchange) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/agentskillexchange/lightrag-graph-based-retrieval-augmented-generation-framewor --- # LightRAG Graph-Based Retrieval-Augmented Generation Framework LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval. Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers. ## Installation Use the upstream install or setup path that matches your environment: - **Note**: You can also use pip if you prefer, but uv is recommended for better performance and more reliable dependency management. - uv tool install "lightrag-hku[api]" - git clone https://github.com/HKUDS/LightRAG.git - make dev Requirements and caveats from upstream: - - [2026.03]🎯[New Feature]: Introduced a setup wizard. Support for local deployment of embedding, reranking, and storage backends via Docker. - # python -m venv .venv Basic usage or getting-started notes: - **📦 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. - The LightRAG Server is designed to provide Web UI and API support. The Web UI facilitates document indexing, knowledge graph exploration, and a simple RAG query interface. LightRAG Server also provide an Ollama compat... - Install from PyPI - Source: https://github.com/HKUDS/LightRAG - Extracted from upstream docs: https://raw.githubusercontent.com/HKUDS/LightRAG/HEAD/README.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/lightrag-graph-rag-framework/)