Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval

Houda Khrouf; Pedro Fillastre; Sebastiao Correia

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arXiv · 2607.20506

Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval

Houda Khrouf·Pedro Fillastre·Sebastiao Correia

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Abstract

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.

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Houda Khrouf, Pedro Fillastre, Sebastiao Correia. 2026-07-02. Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrieval. https://arxiv.org/abs/2607.20506

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