amazon-bedrock-rag and sample-aws-bedrock-rag-govcloud-cdk-python
Both projects are ecosystem siblings, as the second project provides a specialized, secure implementation of the RAG pattern using Amazon Bedrock for AWS GovCloud accounts, building upon the general RAG solution demonstrated by the first project.
About amazon-bedrock-rag
aws-samples/amazon-bedrock-rag
Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock
Implements RAG with dual data sources (S3 documents and web crawling), using Amazon OpenSearch Serverless for vector storage and automatic document chunking with Titan Embeddings. Provides a complete Q&A chatbot application with multi-turn conversation support, model selection UI, and citation tracking—deployed via AWS CDK with API Gateway access controls and built-in security hardening.
About sample-aws-bedrock-rag-govcloud-cdk-python
aws-samples/sample-aws-bedrock-rag-govcloud-cdk-python
This repository enables you to set up a secure chatbot using Amazon Bedrock in an AWS GovCloud account. The solution implements a Retrieval-Augmented Generation (RAG) pattern using Amazon Bedrock Knowledge Bases and OpenSearch Serverless.
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