Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)
Machine Learning Blog
This article discusses building a generative AI-powered text-to-SQL application using Amazon Bedrock, specifically leveraging Claude 3 Sonnet and Amazon Titan for embeddings. The solution addresses the challenge of enabling non-technical users to generate SQL queries using natural language.
- Uses Retrieval Augmented Generation (RAG) to provide enterprise-specific database context
- Employs Amazon Titan for text embeddings and Claude 3.5 Sonnet as the language model
- Utilizes Streamlit for creating a user-friendly web interface
- Stores conversation logs in Amazon S3 for tracking and improvement
- Supports multiple schema types and allows users to generate SQL queries through natural language prompts
The solution helps bridge the gap between non-technical users and complex database querying by providing an intuitive, AI-powered interface for generating SQL queries.
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