Zhitao Yin
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126
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2026
When RAG Meets Query Planning: Logical Query Trees for Resolving Exploratory Reasoning Problems
The paper introduces PlanRAG, a framework for Retrieval-Augmented Generation (RAG) that models exploratory reasoning problems as logical query trees, addressing representation and optimization gaps between structured SQL and unstructured natural language.
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Papers
cs.IREmpiricalRecentJul 1, 2026
When RAG Meets Query Planning: Logical Query Trees for Resolving Exploratory Reasoning Problems
Ganlin Xu, Linghao Zhang, Zhitao Yin, Hongda Xi +6 more
The paper introduces PlanRAG, a framework for Retrieval-Augmented Generation (RAG) that models exploratory reasoning problems as logical query trees, addressing representation and optimization gaps be…
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