aws-samples/rag-with-amazon-bedrock-and-pgvector
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
This project helps developers build and deploy their own question-answering systems for internal documents. It takes a collection of PDF files as input, processes them, and then allows users to ask questions in natural language, retrieving relevant answers from the content. The target user is a software developer or cloud architect responsible for setting up internal knowledge bases or intelligent search applications.
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Use this if you are a developer looking for a customizable, open-source-centric way to implement a RAG application on AWS using your own PDF document knowledge base.
Not ideal if you are a non-developer seeking a ready-to-use, fully managed search solution without needing to write code or manage cloud infrastructure.
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Python
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MIT-0
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Last pushed
Oct 07, 2025
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