AI RESEARCH
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
arXiv CS.AI
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ArXi:2604.20844v1 Announce Type: cross Recent GraphRAG methods integrate graph structures into text indexing and retrieval, using knowledge graph triples to connect text chunks, thereby improving retrieval coverage and precision. However, we observe that treating text chunks as the basic unit of knowledge representation rigidly groups multiple atomic facts together, limiting the flexibility and adaptability needed to diverse retrieval scenarios.