AI RESEARCH
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
arXiv CS.LG
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ArXi:2604.24623v1 Announce Type: cross Graph-based Retrieval-Augmented Generation (GraphRAG) extends traditional RAG by using knowledge graphs (KGs) to give large language models (LLMs) a structured, semantically coherent context, yielding grounded answers. However, GraphRAG reasoning process remains a black-box, limiting our ability to understand how specific pieces of structured knowledge influence the final output.