aws-samples/query-databases-with-natural-language
This project uses the open-source model Mistral Small, deployed in Amazon SageMaker or invoked via API on Amazon Bedrock, to enable users to chat with their database using natural language, without writing any code or SQL query.
This project helps business analysts and other non-technical users get answers from their company's data without needing to write complex SQL queries. You type your question in plain English, and it automatically generates the right database query, runs it, and gives you the answer back in easy-to-understand language. It's designed for anyone who needs quick insights from relational databases, like sales managers checking sales figures or HR professionals looking up employee data.
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Use this if you frequently need to pull specific information from a relational database but lack the SQL skills or time to write complex queries.
Not ideal if you are a database administrator or developer who prefers to write and optimize SQL queries manually for full control.
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Jupyter Notebook
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MIT-0
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Last pushed
Mar 31, 2025
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