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
This project helps you build a custom chatbot that can answer questions using your own private documents or website content. You provide your proprietary information, and the chatbot generates accurate answers, citing its sources from your data, instead of relying solely on generic internet knowledge. This is ideal for knowledge managers, customer support leads, or anyone needing to make internal company data or specific domain knowledge easily searchable and consumable through a conversational AI.
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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