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Build an AI-powered text-to-SQL chatbot using Amazon Bedrock, Amazon MemoryDB, and Amazon RDS

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This article provides a comprehensive guide to building an AI-powered text-to-SQL chatbot using Amazon Bedrock, Amazon MemoryDB, and Amazon RDS for PostgreSQL. The solution enables users to interact with databases using natural language queries.

  • Utilizes Amazon Bedrock's foundation models to convert natural language to SQL queries
  • Implements semantic caching with Amazon MemoryDB to improve performance and reduce costs
  • Uses parameterized SQL and read-only database roles for enhanced security
  • Incorporates Table Augmented Generation (TAG) to improve query accuracy
  • Demonstrates the solution using a US housing properties dataset

The solution allows users to ask complex questions about data in natural language, with the system automatically generating and executing appropriate SQL queries, then interpreting the results.

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