Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models
Summary: DB-GPT: a product-ready Python library embedding LLMs into data interaction, from Text-to-SQL to generative analytics via a Multi-Agent framework and Agentic Workflow Expression Language (AWEL). SMMF enables private-LLM support and secure local/distributed/cloud deployment; code on GitHub. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Siqiao Xue
- 2. Danrui Qi
- 3. Caigao Jiang
- 4. Fangyin Cheng
- 5. Keting Chen
- 6. Zhiping Zhang
- 7. Hongyang Zhang
- 8. Ganglin Wei
- 9. Wang Zhao
- 10. Fan Zhou
- 11. Hong Yi
- 12. Shaodong Liu
- 13. Hongjun Yang
- 14. Faqiang Chen
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,221 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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