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, Nanning Zheng, Han Hu, and Yue Gao.
Why this job: says: rag, retrieval augmented; topics: rag
What it does
We show that Hyper-RAG is a powerful RAG that can enhance the performance of various LLMs and outperform other SOTA RAG methods in the NeurologyCorp dataset. Our paper has been published in Nature Communications (2026).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 331
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0
- Released 8 months ago
- Built with
- Python
- 41% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 92% closed
- 1 still open
- Pull requests
- 25 merged
- 1 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 41%
- JavaScript 34%
- TypeScript 22%
- HTML 2%
Topics
- graph-rag
- hypergraph
- llms
- rag
Project record
- JobRAG and search
- StatusListed
- Commits111
- Forks54
- Watching9
- Stars in 28 days+5
- CreatedApr 3, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026