Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store

Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store

jonathanscholtes

This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.

18 Stars
10 Forks
1 Watchers
Bicep Language
mit License
75 SrcLog Score
Cost to Build
$2.62M
Market Value
$3.47M

Growth over time

6 data points  ·  2025-09-01 → 2026-10-01
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What is the jonathanscholtes/Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store GitHub project? Description: "This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.". Written in Bicep. Explain what it does, its main use cases, key features, and who would benefit from using it.

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Clone via HTTPS

git clone https://github.com/jonathanscholtes/Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store.git

Clone via SSH

[email protected]:jonathanscholtes/Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store.git

Download ZIP

Download main.zip

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