iMoonLab/Hyper-RAG
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Xingliang Hou, Shiquan Liu, Shihui Ying, Shaoyi Du, Han Hu, and Yue Gao.
Implements hypergraph-based knowledge modeling to capture both pairwise and high-order entity correlations from domain-specific corpora, integrated with a native Hypergraph-DB backend for efficient higher-order relationship retrieval. Includes a lightweight variant (Hyper-RAG-Lite) achieving 2× retrieval speed improvement, and provides a web-based visualization UI for hypergraph exploration and QA interaction. Supports multiple LLM providers through configurable API endpoints and demonstrates broad applicability across medical and general-domain datasets.
251 stars.
Stars
251
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39
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
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