AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

• UpdatedDec 12, 2024
• Jupyter Notebook

This repo helps you to build a team of AI agents with Autogen

• UpdatedMar 17, 2025
• TypeScript

Simple starting point function to host LangChains with LLMs and other tools in an Azure Function.

• UpdatedOct 21, 2024
• Bicep

Packaged app samples to accelerate devs journey to cloud

• UpdatedOct 11, 2024

The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework by Microsoft Customer Engineers and Architects, ensures quality, efficiency, and rapid deployment of AI and ML solutions across various industries.

• UpdatedJan 31, 2025
• Bicep

An `azd` (Azure Developer CLI) template for getting a Next.js app running on Azure Container Apps with CDN and Application Insights.

• UpdatedJun 26, 2024
• Bicep

This sample shows how to take text documents as a input via BlobTrigger, does Text Summarization & Sentiment Score processing using the AI Congnitive Language service, and then outputs to another text document using BlobOutput binding. Uses Azure Functions Python v2 programming model.

• UpdatedOct 14, 2024
• Bicep

This C# demo is based on azure-search-openai-demo and uses a static web app for the frontend and Azure functions for the backend API's. This solution uses the Azure Functions OpenAI triggers and binding extension for the backend capabilities.

• UpdatedJan 22, 2025
• TypeScript

Demo repository to show how to use Managed Identity on Azure Functions to connect to Power Apps Web API.

• UpdatedOct 24, 2024
• Bicep

This provides some reference use cases while using Azure API Center

• UpdatedDec 15, 2024
• Bicep

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

• UpdatedNov 5, 2024
• Bicep

Reusable OpenAI secure UI and infrastructure for AI Chat with Azure

• UpdatedMar 17, 2025
• TypeScript

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

• UpdatedNov 11, 2024
• Bicep

Sample repository that shows how to use azd with Logic Apps and Dataverse API

• UpdatedAug 7, 2023
• Bicep

eShopLite - Semantic Search is a reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search using ChromaDB

• UpdatedFeb 20, 2025
• C#

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

• UpdatedNov 5, 2024
• Bicep

Web App to collect thoughts about articles, and blob posts read and then aggregate them in a Reading Notes blog post

• UpdatedMar 8, 2025
• C#

This sample shows how to take text documents as a input via BlobTrigger, does Text Summarization & Sentiment Score processing using the AI Congnitive Language service, and then outputs to another text document using BlobOutput binding.

• UpdatedOct 15, 2024
• Bicep

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

• UpdatedNov 5, 2024
• Bicep

A template of an empty ASP.NET Core Web API (csharp) with Azure Developer CLI (azd)

• UpdatedMay 5, 2023
• Bicep