Programmatically extract data and apply schemas to unstructured documents across text-based and multi-modal content using Azure AI Foundry, Azure OpenAI, Azure AI Content Understanding, and Cosmos DB.

Designed to help customers transition their SQL queries to new environments quickly and efficiently. This accelerator is particularly useful for organizations modernizing their data estates, as it simplifies the process of translating SQL queries from various dialects.

Fine-Tune End-to-End Distillation Models with Azure AI Foundry Models and Foundry Local

Azure AI Foundry - Agents related sample code

A concise collection of runnable .NET sample apps that demonstrate practical integration with GitHub Models and Azure AI Foundry. includes clear setup steps, environment configuration, and token/security guidance—ideal for learning, prototyping, and extending AI-enabled .NET applications.

Enables solution engineers to customize, deploy, and collaborate on multi-agent AI solutions using Azure AI Foundry

Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.

🔷A curated list of awesome Azure OpenAI🌀and Microsoft Copilot✈️

Real-time AI demo that shows how audio and text can be used together to build unique solutions.

A comprehensive guide for modernizing mainframe applications (IBM z/OS, Unisys, GCOS, ACOS) using Azure AI Foundry with GitHub and Azure DevOps, preserving existing investments while enabling modern DevOps and AI capabilities.

This repo defines base architecture to deliver an Agentic AI platform that enables rapid deployment of AI Agents and services. This platform is a base building block that we utilize to build out eco-systems

Automate front-end development: a hands-on workshop using Figma, GitHub Copilot, and Azure AI to turn designs into code quickly and consistently.

This repository provides an overview of Azure Machine Learning components for demonstration purposes only.

🤖 Run Generative AI models on your local device effortlessly with Foundry Local, no Azure subscription needed, keeping your data secure and private.

AI Foundry Agent with ISV Partner MCP Server integration

This example shows how to propagate a user's Entra ID identity end-to-end — from the browser, through an AI Foundry agent with MCP tools, through API Management, all the way to the backend API. No service accounts in the data path.

MCP Server that supports Azure AI Foundry image generation and editing capabilities.