aws-samples/Serverless-Retrieval-Augmented-Generation-RAG-on-AWS
A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.
This project helps developers quickly set up a full-featured chatbot application using their own documents and AWS serverless technologies. It takes your unstructured data (like PDFs or text files) and allows users to ask questions, getting answers grounded in your specific content. This is ideal for software engineers or solution architects looking to build and test proof-of-concepts or prototypes for AI-powered knowledge retrieval systems.
No commits in the last 6 months.
Use this if you need a rapid, cost-effective way to prototype or build a Minimum Viable Product (MVP) for a chatbot that can answer questions based on your custom documentation or data, without managing complex infrastructure.
Not ideal if you are a non-technical user simply looking for a ready-to-use chatbot and are not comfortable with deployment processes involving AWS CDK and command-line tools.
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Language
JavaScript
License
MIT-0
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Last pushed
Nov 18, 2024
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