gusye1234/nano-graphrag
A simple, easy-to-hack GraphRAG implementation
- Stars
- 4.0k
- Forks
- 428
- Open issues
- 67
- Last push
- 8mo ago
About nano-graphrag
nano-graphrag is a free, open-source RAG and AI search tool by gusye1234, written mainly in Python. A simple, easy-to-hack GraphRAG implementation. It has 4.0k GitHub stars and 428 forks, and was last updated 8mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 4,006
- Last update
- 8mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
Similar free tools
graphrag36k stars · A modular graph-based Retrieval-Augmented Generation (RAG) system
agentic-rag-for-dummies4.3k stars · A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
private-gpt58k stars · Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
LightRAG40k stars · [EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
all-in-rag12k stars · 🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
onyx33k stars · Open Source AI Platform - AI Chat with advanced features that works with every LLM
nano-graphrag FAQ
Is nano-graphrag free?
Yes. nano-graphrag is open source and free to use. It's released under the MIT license, a standard open-source license.
Does nano-graphrag run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does nano-graphrag need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is nano-graphrag still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to nano-graphrag?
Similar free, open-source tools include graphrag, agentic-rag-for-dummies, private-gpt, LightRAG.