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.
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
Method 1, Agent Skill Exchange
- Install from the marketplace listing: https://agentskillexchange.com/skills/lightrag-graph-rag-framework/
Method 2, Git clone
git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/lightrag-graph-rag-framework
Method 3, Download ZIP
- Download the repository ZIP and extract
skills/lightrag-graph-rag-framework.
Method 4, Manual copy
- Copy this skill folder into your local skills directory, then reload your agent tooling.
Method 5, Fork and sync
- Fork the repository if you want to maintain local edits while syncing upstream changes.