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Building scalable, secure, and reliable RAG applications using Amazon Bedrock Knowledge Bases

Machine Learning Blog



This article discusses how to build scalable, secure, and reliable Retrieval Augmented Generation (RAG) applications using Knowledge Bases for Amazon Bedrock, while aligning with the AWS Well-Architected Framework.

Specifically, the article covers:

  • AWS Well-Architected design principles for RAG applications
  • AWS CloudFormation support for automating deployment of Knowledge Bases
  • Private network policies for storing embeddings securely in Amazon OpenSearch Serverless
  • Using multiple S3 buckets (including cross-account) as data sources
  • Other features like Service Quotas support, hybrid search, metadata filtering, custom prompts, and maximum retrievals
  • Conclusion: Aligning RAG applications with Well-Architected Framework provides scalability, security, reliability, performance optimization, cost optimization, and sustainability.


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