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, Nanning Zheng, Han Hu, and Yue Gao.
Improve the accuracy of AI text generation by using advanced retrieval methods to reduce errors.
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Free · no card · unsubscribe anytime"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, Nanning Zheng, Han Hu, and Yue Gao.
Hyper-RAG has 308 stars on GitHub. It has been forked 52 times. Hyper-RAG is written mainly in Python. It has been in active development since 2025. Hyper-RAG is available under the Apache-2.0 license. Its main topics are graph-rag, hypergraph, llms, rag.
What is 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, Nanning Zheng, Han Hu, and Yue Gao.
Is Hyper-RAG open source?
Hyper-RAG is an open-source project. It is released under the Apache-2.0 license.
Is Hyper-RAG free?
Yes. Hyper-RAG is free and open source — you can use, modify and self-host it.
What license does Hyper-RAG use?
Hyper-RAG is available under the Apache-2.0 license.
What language is Hyper-RAG written in?
Hyper-RAG is written mainly in Python.
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