iMoonLab/Hyper-RAG
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du,
- Stars
- 330
- Forks
- 54
- Open issues
- 1
- Last push
- 3mo ago
About Hyper-RAG
Hyper-RAG is a free, open-source RAG and AI search tool by iMoonLab, written mainly in Python. "Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du,. It has 330 GitHub stars and 54 forks, and was last updated 3mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 330
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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Hyper-RAG FAQ
Is Hyper-RAG free?
Yes. Hyper-RAG is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does Hyper-RAG run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Hyper-RAG need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Hyper-RAG still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Hyper-RAG?
Similar free, open-source tools include ragflow, graphrag, llm-graph-builder, PageIndex.