MindsDB Minds lets business users query databases using plain English instead of SQL. This tutorial shows how to build an AI-powered analytics system that translates natural language into SQL queries and returns answers with automatically generated charts.

The setup connects MindsDB to a PostgreSQL dataset with sales, product, and customer tables. Users define prompt templates that guide the AI's behavior, including how to join tables and format responses with visualizations using QuickChart.io.

Example queries demonstrate real-world use cases like comparing sales by product category or customer segment. The system handles everything from query generation to chart rendering, making data insights accessible to non-technical users without dashboard overhead.

Developers can extend this foundation by adding more data sources, chart types, or wrapping the functionality in a web interface. The approach represents a shift toward conversational analytics where databases become directly interactive through natural language.