Unlock the power of structured data for enterprises using natural language with Amazon Q Business
Machine Learning Blog
The article summarizes how to use Amazon Q Business to query structured data, like cost and usage reports, using natural language. It provides an architecture where Amazon Q Business translates natural language queries into SQL queries to retrieve data from sources like Amazon Athena.
Specifically, the article covers:
- Solution overview and workflow of the architecture
- Components involved (prompt builder, SQL query generation, running queries, displaying results)
- Prerequisites and steps to set up the application
- How to access and use the web application to query data
- Feedback loop and clean up steps
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Apr 29
2026
2026
Enabling natural language access to structured data using Amazon S3 Tables and Amazon Bedrock Knowledge Bases
Dec 3
2024
2024
Query structured data from Amazon Q Business using Amazon QuickSight integration
Dec 18
2024
2024
Using natural language in Amazon Q Business: From searching and creating ServiceNow incidents and knowledge articles to generating insights
May 4
2026
2026
Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.