There are 62 repositories under azd-templates topic.
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.
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.
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a 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.
Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
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.
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
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.
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Semantic Kernel, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.
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.
The Reliable Web App Pattern is a set of objectives to help your web application converge on the cloud. This repo contains a reference implementation of a reliable web application for .NET.
A simple ChatGPT Plugin running in Codespaces for dev and Azure for production.
A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
A creative writing multi-agent solution to help users write articles.
This solution accelerator leverages Azure AI Foundry, Azure AI Content Understanding, Azure OpenAI Service, and Azure AI Search to enable organizations to derive insights from volumes of conversational data using generative AI. It offers key phrase extraction, topic modeling, and interactive chat experiences through an intuitive web interface.
A TypeScript sample app for the Retrieval Augmented Generation pattern running on Azure, using Azure AI Search for retrieval and Azure OpenAI and LangChain large language models (LLMs) to power ChatGPT-style and Q&A experiences.
Solution Accelerator to show how to build your own copilot
A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
The Azure Container Apps landing zone accelerator is an open-source collection of architectural guidance and reference implementation to accelerate deployment of Azure Container Apps at scale.
Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
A demonstration of chatting with uploaded images using OpenAI vision models like gpt-4o.
Create your own ChatGPT with Retrieval-Augmented-Generation workshop
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
Facilitates creating modular specialized agents that coordinate across diverse data types and tools like M365 and Teams to assist multi-disciplinary healthcare workflows—such as cancer care.
Multi-agent banking assistant with Java and Langchain4j
Document Generation Solution Accelerator using Azure OpenAI Service and Azure AI Search.
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
This repo is the Java version of Microsoft's sample app for ChatGPT + Enterprise data.
A deployment of a secure, extensible and integrated environment for running AI Foundry workloads in Production. It simplifies the process of including essential Azure services necessary to run mission-critical AI applications and adhere to Microsoft Well Architected Framework recommendations.
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.
A blueprint for getting a React web app with a C# API and a MongoDB database on Azure. The blueprint includes sample application code (a ToDo web app) which can be removed and replaced with your own application code. Add your own source code and leverage the Infrastructure as Code assets (written in Bicep) to get up and running quickly.
A blueprint for getting a React web app with a C# API and a SQL database on Azure. The blueprint includes sample application code (a ToDo web app) which can be removed and replaced with your own application code. Add your own source code and leverage the Infrastructure as Code assets (written in Bicep) to get up and running quickly.
This repository demonstrates a typical front-end UI built with ASP.NET and a complementary back-end API.
A sample Django app using PostgreSQL for the Azure App Service Web App + Database tutorial
Simple starting point function to host LangChains with LLMs and other tools in an Azure Function.
A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Question Answering (CQA) to dynamically improve a RAG chat experience.