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HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search

Summary: HAMMER combines hierarchical graph memory with Monte Carlo Tree Search to tune interdependent RAG modules, retaining and reusing experimental experience. A theoretically grounded query-selection strategy cuts tuning time and token use by up to 9× while improving EM/F1 substantially. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7444
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,253 | 29.66%
DOI
10.1145/3802071

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Authors

BibTeX Citation

@inproceedings{zhou_sigmod26,
        title = {{HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search}},
        author = {Zhou, Yingli and Wang, Zixuan and Fang, Yixiang},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802071},
        url = {https://dl.acm.org/doi/10.1145/3802071},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank Cited Paper Year Venue Pagerank
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
1,686 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010008686
1,920 D-Bot: Database Diagnosis System using Large Language Models 2024 VLDB 9.4846185e-05
2,298 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7886538e-05
2,452 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5584e-05
2,553 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 8.4283807e-05
2,740 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.1855759e-05
2,852 The Dawn of Natural Language to SQL: Are We Fully Ready? 2024 VLDB 8.0455088e-05
3,116 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 7.7390737e-05
3,346 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.4967834e-05
3,757 Panda: Performance Debugging for Databases using LLM Agents 2024 CIDR 7.1483644e-05
3,787 Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL 2024 VLDB 7.1249098e-05
5,682 RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes 2024 VLDB 6.123486e-05
5,856 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.0644656e-05
6,254 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 5.9405174e-05
6,259 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 5.93967e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
7,127 SubStrat: A Subset-Based Optimization Strategy for Faster AutoML 2023 VLDB 5.6957765e-05
7,694 PalimpChat: Declarative and Interactive AI analytics 2025 SIGMOD 5.5661389e-05
8,177 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD 5.4730821e-05
8,423 Cracking SQL Barriers: An LLM-based Dialect Translation System 2025 SIGMOD 5.4275169e-05
8,627 ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries 2025 VLDB 5.3969543e-05
8,797 Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations 2024 SIGMOD 5.3702298e-05
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