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

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.

39
/ 100
Emerging

This project guides you through setting up a secure and scalable AI assistant on Azure. You provide your documents, and the system uses them to answer questions and generate responses, ensuring the information is always based on your specific data. It's designed for organizations that need a robust, enterprise-grade AI solution for their employees or customers, built on Azure.

No commits in the last 6 months.

Use this if you need to build a custom, secure, and data-aware AI application on Azure that uses your own documents to provide answers.

Not ideal if you are looking for a simple, off-the-shelf AI chatbot that doesn't require deep integration with your organization's data or security protocols.

enterprise-AI secure-data-handling knowledge-management document-intelligence custom-chatbot
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

18

Forks

11

Language

Bicep

License

MIT

Category

dotnet-azure-rag

Last pushed

Feb 27, 2025

Commits (30d)

0

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