Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4
Summary: GPT-DB uses GPT-4 to translate SQL, schema descriptions, and logical plans into query-specific Python code, with natural-language customization. It validates and regenerates code against a reference DB and supports user-selected examples for iterative accuracy improvements. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (Cornell University)
BibTeX Citation
@article{trummer_vldb23,
title = {{Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4}},
author = {Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4098--4101},
doi = {10.14778/3611540.3611630},
url = {https://doi.org/10.14778/3611540.3611630},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,298 | GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization | 2024 | VLDB | 8.7886538e-05 |
| 6,997 | E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model | 2025 | VLDB | 5.7300324e-05 |
| 7,809 | Can Large Language Models Be Query Optimizer for Relational Databases? | 2026 | SIGMOD | 5.5399022e-05 |
| 9,388 | Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities | 2024 | VLDB | 5.2755515e-05 |
| 10,401 | SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016568053 |
| 1,337 | DB-BERT: A Database Tuning Tool that "Reads the Manual" | 2022 | SIGMOD | 0.00011117488 |
| 2,019 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 9.2983994e-05 |
| 2,521 | CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex | 2022 | VLDB | 8.4729505e-05 |
| 3,589 | Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins | 2022 | VLDB | 7.2812353e-05 |
| 4,449 | From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management | 2022 | VLDB | 6.697553e-05 |
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