Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval
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Abstract (arXiv)
GraphRAG enables deeper reasoning by structuring knowledge as graphs but struggles with n-ary facts. HyperGraphRAG uses hypergraphs for richer semantics, improving accuracy, yet relies on error-prone LLM extraction and inefficient standard chunk retrieval. We address this by employing self-consistency prompting to improve the extraction, and Personalized PageRank algorithm over hypergraph to enhance chunk retrieval.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 20 references that are in the map. First posted on arXiv 2 Jul 2026.
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References · 16
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
- 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
- 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,453
- 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 418
- 2025From RAG to Memory: Non-Parametric Continual Learning for Large Language Modelscited by 231
- 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 223
- 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
- 2024MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentationcited by 119
- 2024LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domaincited by 118
- 2024GRAG: Graph Retrieval-Augmented Generationcited by 78
- 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representationcited by 68
- 2024KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generationcited by 67
4 more
- 2025KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAGcited by 29
- 2025Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generationcited by 23
- 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Surveycited by 18
- 2025Recent Advances in Hypergraph Neural Networkscited by 7
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- 2026HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation
- 2025When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
- 2026Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
- 2026Toward Robust GraphRAG: Mitigating Retrieval Drift and Hallucination from Imperfect Knowledge Graphs
- 2026A Navigational Approach for Comprehensive RAG via Traversal over Proposition Graphs
- 2025Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG
- 2024LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration
- 2025Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems