VerbaGPT

以下为收录时的原文，语言与页面不同，未做翻译。

VerbaGPT translates plain‑English questions into executable Python for SQL databases and data files (PostgreSQL, MySQL, MSSQL, Snowflake, CSV, Excel, JSON, PDF), adding schema context and secure cloud or local modes while supporting multiple LLM backends.

官网介绍

Connect your databases, ask questions in natural language, and get Python-powered analysis and visualizations with Virgo and Taurus.

官网要点

• Virgo uses embeddings to find relevant schema columns
• Generates Python code with SQL queries
• Team collaboration (shared chat history)
• Production web deployments
• Returns comprehensive analysis with context

官方常见问题

Who is VerbaGPT for?

VerbaGPT is built for data-rich organizations that want non-technical users to ask powerful questions, and for knowledge-rich firms that want to productize their expertise as data and prompt libraries.

Is VerbaGPT just text-to-SQL?

No. VerbaGPT is text-to-Python, which includes SQL but also statistical analysis, modeling, data cleaning, and visualization. Virgo turns natural language into executable Python tailored to your datasources.

Can I analyze files without a database?

Yes. Upload CSV, Excel, JSON, PDF, or Word files directly — or import from Google Drive. You can query files alone or combine them with live database connections in the same conversation.

Do I have to install anything to use VerbaGPT?

No. Virgo is available via the web app at app.verbagpt.com with no installation required. Taurus is an optional local install for advanced users who want deeper, agentic workflows on their own machines.

What databases does VerbaGPT support?

VerbaGPT supports PostgreSQL, MySQL, Microsoft SQL Server (MSSQL), and Snowflake. It also supports file uploads including CSV, Excel, JSON, PDF, DOCX, and Google Drive imports.

Can I white-label VerbaGPT with my organization's branding?

Yes. For Team and Enterprise plans, VerbaGPT can display your organization's logo and branding. Contact team@verbagpt.com to learn more about white-label options.