Azure-Samples

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Sample code for the Microsoft Cognitive Services Speech SDK

An ASP.NET Core Web App which lets sign-in users (including in your org, many orgs, orgs + personal accounts, sovereign clouds) and call Web APIs (including Microsoft Graph)

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

Sample implementations for cloud design patterns found in the Azure Architecture Center.

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Azure OpenAI code resources for using gpt-4o-realtime capabilities.

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.

A simple nodejs application for docs

Official community-driven Azure AI Examples

This reference architecture walks you through the decision-making process involved in designing, developing, and delivering a serverless application using a microservices architecture through hands-on instructions for configuring and deploying all of the architecture's components along the way. The goal is to provide practical hands-on experience in working with several Azure services and the technologies that effectively use them in a cohesive and unified way to build a serverless-based microservices architecture.

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.