VerbaGPT
Analyze CSV/SQL data using natural language queries with privacy protection
Target Audience
- Business Analysts
- Data Consultants
- Research Teams
- IT Departments
Hashtags
Overview
VerbaGPT lets you ask questions about your spreadsheets and databases using plain English. It keeps your sensitive information secure by processing data locally instead of sending it to third-party servers. You can create charts, run complex analyses, and even build predictive models without coding skills.
Key Features
Natural Language Queries
Ask data questions in English instead of writing SQL/code
Local Processing
Runs on your hardware to protect sensitive data
Advanced Analytics
Create plots, predictive models, and complex reports
Cloud Integrations
Works with Snowflake, AzureSQL, and other databases
Use Cases
Generate business reports from raw data
Predict trends with neural network models
Create geographic distribution maps
Compare statistical models automatically
Pros & Cons
Pros
- Zero data sharing with third-party AI vendors
- Handles complex multi-join queries and modeling
- Free query processing shown in examples
- Roadmap includes offline local LLM support
Cons
- Requires technical setup for local installation
- Currently relies on external LLMs for processing
- Advanced features may need database expertise
Frequently Asked Questions
How does VerbaGPT protect my data?
Processes data locally and only shares schema/column names with LLMs, not raw data
What data sources are supported?
CSV files and SQL databases including Snowflake/AzureSQL
Integrations
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