Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents
Machine Learning Blog
This article details how Amazon's Worldwide Returns & ReCommerce (WWRR) organization developed a conversational data assistant called Returns & ReCommerce Data Assist (RRDA) using Amazon Bedrock Agents to transform data access.
- Solves SQL query generation for 4000+ non-technical users
- Reduces query resolution time by 90% (from hours to minutes)
- Uses Amazon Bedrock Agents with Anthropic's Claude models to generate and validate SQL queries
- Implements domain-specific metric classification and retrieval
- Automatically enriches table metadata using AWS Step Functions
- Validates SQL queries without execution using Redshift EXPLAIN command
The solution enables business users to generate accurate SQL queries through natural language conversations, eliminating the need for manual SQL expertise and reducing dependency on business intelligence teams.
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