amazon-bedrock-rag and rag-with-amazon-bedrock-and-opensearch
These are competitors, as both repositories provide sample implementations for building a RAG solution using Amazon Bedrock, with **A** leveraging the fully managed Knowledge Bases for Amazon Bedrock and **B** demonstrating a more hands-on approach with OpenSearch.
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 rag-with-amazon-bedrock-and-opensearch
aws-samples/rag-with-amazon-bedrock-and-opensearch
Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch
This project helps you build a custom question-answering system for your organization's documents. You provide a collection of PDF documents, and the system allows users to ask natural language questions and receive answers directly from those documents. It's designed for businesses or teams that need to quickly extract information from their internal knowledge base without manual searching.
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