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.
Use this if you have many internal PDF documents and want to enable your team to get immediate, accurate answers to questions about their content using a conversational interface.
Not ideal if your knowledge base consists of diverse data types beyond PDFs (like webpages, wikis, or databases) and you need a more generalized search solution.
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Python
License
MIT-0
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Last pushed
Mar 01, 2026
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