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AGRL: An Agentic GraphRAG Framework with Reinforcement Learning for Database Configuration Debugging

Summary: AGRL augments configuration-debugging RAG with a knowledge graph bridged by historical Q&A, an RL-trained subgraph retriever, and an iterative Reason-Act-Reflect agent. Progressive joint refinement addresses agent–retriever cold start and yields gains over state-of-the-art baselines. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID
h0aae0dc041095741
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,377 | 30.45%
DOI
10.1145/3837092
PDF
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Authors

BibTeX Citation

@inproceedings{luo_sigmod27,
        title = {{AGRL: An Agentic GraphRAG Framework with Reinforcement Learning for Database Configuration Debugging}},
        author = {Luo, Chengyang and Liu, Qing and Guo, Yujie and Wang, Kai and Zhang, Wenjie and Gao, Yunjun},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837092},
        url = {https://dl.acm.org/doi/10.1145/3837092},
        year = {2027}
}

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Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
313 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021288111
411 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.0001874043
583 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00015964021
757 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014202187
1,771 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.6775181e-05
2,572 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.2581875e-05
2,995 Panda: Performance Debugging for Databases using LLM Agents 2024 CIDR 7.7556154e-05
3,286 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 7.441688e-05
3,839 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.9704205e-05
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