Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
Your resume api in Azure serverless
Simple starting point function to host LangChains with LLMs and other tools in an Azure Function.
A FastAPI app that is designed for deployment to Azure Functions with an API Management Policy.
Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
Build a Retrieval Augmented Generation solution using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
This repo contains Azure Resource Manager templates for deploying Function App with recommended settings and best practices.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
Demo repository to show how to use Managed Identity on Azure Functions to connect to Power Apps Web API.
This sample shows how to take a ChatGPT prompt as HTTP Get or Post input, calculates the completions using OpenAI ChatGPT service, all hosted in an Azure Function.
Solution Accelerator: Using Logic Apps & Form Recognizer
This is a Power Platform custom connector project for OpenAI API and Azure OpenAI Service API.
A FastAPI that can generate maps using the py-staticmaps package. Designed for deployment to Azure Functions + Azure CDN, using the Azure Developer CLI and Bicep files.
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
An Azure Function written in C# that connects to CosmosDB using RBAC, plus the supporting infrastructure (Function, Storage, KeyVault, RBAC setup, App Insights) all written in bicep.
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.
This repository contains the implementation of an order processing workflow with Durable Functions in C#. The sample is deployed to Azure Functions Flex Consumption using the Azure Developer CLI (azd) and is configured with managed identity as the authentication mechanism.
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/Azure-Samples/wizard?existingreponame=function-javascript-ai-openai-chatgpt&existingrepoid=646766530
This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
Azure Serverless template project using Azure Functions, Angular, Azure Cosmos DB and APIM with MSAL
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