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When RAG Meets Query Planning: Logical Query Trees for Exploratory Reasoning Problems

Summary: PlanRAG casts ambiguous, exploratory natural-language questions as logical query trees, using cost-guided dynamic programming to plan decomposition and execution. Parallel, iterative retrieval and aggregation over the trees outperforms iteration- and graph-based RAG on WikiWeb-ERP. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID
hff67ea3d9f532961
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,416 | 30.19%
DOI
10.1145/3837131
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BibTeX Citation

@inproceedings{xu_sigmod27,
        title = {{When RAG Meets Query Planning: Logical Query Trees for Exploratory Reasoning Problems}},
        author = {Xu, Ganlin and Zhang, Linghao and Yin, Zhitao and Xi, Hongda and Yang, Chen and Liang, Jiaqing and Lu, Weijia and Jiang, Sihang and Xiao, Yanghua and Yang, Deqing},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837131},
        url = {https://dl.acm.org/doi/10.1145/3837131},
        year = {2027}
}

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