Build an end-to-end RAG solution using Amazon Bedrock Knowledge Bases and AWS CloudFormation

This article demonstrates how to deploy an end-to-end Retrieval Augmented Generation (RAG) solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation. RAG combines retrieval and foundation models to build question-answering systems.

Specifically, the article covers:

• Solution overview: Automates RAG workflow deployment using Bedrock Knowledge Bases, S3 document data, and OpenSearch Serverless.
• Prerequisites: AWS account, S3 bucket with documents, Amazon Titan Embeddings G1-Text model access.
• Set up: Cloning GitHub repo, running deploy.sh script, creating CloudFormation stack.
• Testing: Syncing knowledge base, selecting foundation model, querying data.
• Cleanup: Deleting resources to avoid charges.
• Conclusion: Streamlines RAG deployment, saves time and effort.