Deploying a RAG FastAPI to Azure Function App

Description

In this video tutorial, we guide you through deploying a FastAPI application serving a Retrieval-Augmented Generation (RAG) pipeline to an Azure Function App. Starting with the basic setup, we explore installing necessary tools, configuring the project in Visual Studio Code, and creating the Azure Function App. The video includes steps to set up environment variables, route traffic to the FastAPI app, test locally, and finally deploy it to Azure. This guide ensures you can leverage serverless computing with Azure Functions for cost-effective, scalable deployments. Make sure you have an Azure account and follow along to successfully deploy your RAG application. Github repo https://github.com/AIgineerAB/AI_engineering_four_weeks_course/tree/main/11_deploy_rag_serverless #azure #serverlesscomputing #rags #pydanticai 00:00 Introduction to RAG Pipeline Deployment 00:54 Setting Up Azure Function App 02:26 Configuring Visual Studio Code 04:04 Testing the Local Setup 06:53 Creating and Configuring Function App in Azure 18:37 Deploying to Azure and Final Testing 27:01 Conclusion and Final Thoughts