Show Cases
DB-GPT helps teams turn data questions into SQL, code, charts, dashboards, reports, and knowledge-driven workflows.
What you can do with DB-GPTโ
Analyze CSV / Excel files
Upload files, inspect data, compute metrics, and generate visual reports.
Connect to databases
Explore schemas, query production-like data, and produce profiling reports.
Natural language to SQL
Ask business questions and let AI generate SQL automatically.
Financial report analysis
Combine documents, code, charts, and summaries for decision support.
Build reusable skills
Create domain workflows and reusable SQL / analysis skills for repeated tasks.
Combine code, SQL, retrieval, and tools
Build next-generation AI + Data assistants for teams and products.
Featured scenariosโ
End-to-end examplesโ
1. Agentic data analysisโ
Use DB-GPT to plan tasks, break work into steps, call tools, and complete end-to-end analysis workflows.
2. Autonomous SQL + code executionโ
Generate SQL and code to query data, clean datasets, compute metrics, and produce outputs.
3. Intelligent database insight and analysis reportโ
Built on the new Agentic architecture, the engine autonomously performs data diagnostics, feature extraction, and multi-dimensional analysis, generating exclusive analysis reports with beautiful charts and deep insights that make data value crystal clear.
4. Skills-driven extensibilityโ
Package domain knowledge, analysis methods, and execution workflows into reusable skills.
5. Sandboxed executionโ
Run code and tools in isolated environments for safer, more reliable analysis.
Outcomeโ
DB-GPT is designed for teams that want to go beyond simple chatbots and build practical AI + Data systems that can connect to data, reason with tools, and deliver reports, insights, and action.