NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective

Summary: NeutronRAG is a data-retrieval–driven demonstration to understand RAG effectiveness across retrieval paradigms (VectorRAG, GraphRAG, HybridRAG). It offers hybrid retrieval, systematic analysis, visual feedback, and parameter-adjustment guidance for data-driven comparison of retrieval methods and settings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7168
Venue: SIGMOD
Year: 2025
Pagerank: -
Overall Rank: 13,104 | 8.84%
DOI: 10.1145/3722212.3725119

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Rank	Citing Paper	Year	Venue	Pagerank
10,066	DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention	2026	SIGMOD	4.1945683e-05

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