What is VerbaGPT?

VerbaGPT converts plain‑English questions into executable Python code that can query SQL databases, perform statistical modeling, or generate visualizations, supporting PostgreSQL, MySQL, MSSQL, Snowflake, CSV, Excel, JSON, and PDF data sources. The platform adds “Data Notes” that describe database schemas, table relationships, column meanings, and business rules, giving language models the context needed to avoid incorrect queries.

Users can choose between a cloud‑hosted “Virgo” mode for fast, multi‑user analytics and a local “Taurus” agent that runs on a machine for full privacy and iterative, agentic workflows. Prompt Libraries allow teams to share vetted prompt templates or license domain‑specific prompt packs, streamlining effective communication with the model across the organization.

Security features include JWT authentication, role‑based access control, AES‑256 encryption at rest, TLS 1.3 encryption in transit, and audit logging of all queries and data‑source interactions. VerbaGPT supports multiple LLM backends, enabling users to switch between GPT‑4, Claude, or other providers for code generation, schema reasoning, and review without changing workflows.

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VerbaGPT's key features

Natural language to Python/SQL conversion
Contextual Data Notes for accurate queries
Prompt Library for reusable prompts
Multi-model orchestration (GPT‑4, Claude)
Cloud-powered analytics with live DBs
Local AI agent with full system access
Role-based access control and audit logging

VerbaGPT use cases

Translate plain‑English sales questions into efficient PostgreSQL queries, automatically referencing schema context for accurate data retrieval
Convert complex CSV or Excel analytics requests into MySQL statements, ensuring secure local processing and instant column mapping
Generate Snowflake SQL from natural language prompts, leveraging multiple LLMs for precise schema explanations and optimized query performance