Build a conversational natural language interface for Amazon Athena queries using Amazon Nova
Machine Learning Blog
This article details how to build a conversational natural language interface for Amazon Athena queries using Amazon Nova and Amazon Bedrock Agents. The solution enables business users to query data using plain English instead of complex SQL commands.
- Uses Amazon Nova Lite foundation model to transform natural language into SQL queries
- Integrates with AWS Cost and Usage Reports (AWS CUR) as an example data source
- Provides a secure, scalable architecture using AWS services like Amazon Cognito, Lambda, and Amplify
- Supports complex queries like "What are my Top 5 Services cost in each month of first quarter of 2025?"
- Can be adapted to work with other Amazon S3-backed Athena databases
The solution democratizes data access by allowing non-technical users to interact with complex databases through natural language conversations, powered by Amazon Bedrock Agents and Amazon Nova.
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