Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

This article explains how to build an end-to-end Retrieval Augmented Generation (RAG) solution using Knowledge Bases for Amazon Bedrock and the AWS Cloud Development Kit (CDK). RAG is an approach to building question answering systems by combining the strengths of retrieval and generative language models.

Specifically, the article covers:

• An overview of the RAG solution and its components
• Prerequisites for implementing the solution
• Step-by-step instructions for setting up the solution using AWS CDK
• Testing the deployed RAG solution
• Cleaning up the deployed resources
• Conclusion highlighting the benefits of the automated RAG deployment