Add Retrieval Augmented Generation (RAG) to your .NET applications with Amazon Bedrock Knowledge Bases

This article discusses how to add Retrieval Augmented Generation (RAG) capabilities to .NET applications using Amazon Bedrock Knowledge Bases. RAG allows large language models to access and leverage private data sources beyond their original training data, providing more accurate and domain-specific responses.

Specifically, the article covers:

• An introduction to RAG and its benefits
• The architecture and workflow for building a RAG virtual assistant application
• Step-by-step instructions for setting up the required AWS infrastructure and knowledge base
• Code walkthrough for the .NET application that interacts with the knowledge base
• Pricing and cleanup information
• Conclusion highlighting the value of Amazon Bedrock for building generative AI applications