Perpetue237/rag-api-template
A template to set up, build and deploy a RAG-API including frontend and backend with docker compose.
This is a template for developers to quickly set up a Retrieval-Augmented Generation (RAG) system. It takes unstructured data, such as PDF files, processes them, and then allows users to ask questions and receive answers from a pre-trained language model, using the uploaded documents as context. The primary users are developers looking to build and deploy their own RAG applications with a user interface.
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Use this if you are a developer looking for a comprehensive, ready-to-use boilerplate to build and deploy a GPU-accelerated RAG API with both a frontend and backend.
Not ideal if you are an end-user seeking a ready-made application to answer questions from your documents without any development work, or if you don't have access to an NVIDIA GPU.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Jul 20, 2025
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