Azure Developer CLI (azd) templates are idiomatic application templates created using the azd conventions so that you can use azd to get started on Azure. Each template includes application code, infrastructure as code files needed to provision the Azure resources, and configuration file to set up your continuous integration and delivery (CI/CD) pipeline.
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.
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 Microsoft Agent Framework, 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.
A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
This solution accelerator leverages Microsoft Foundry, Azure Content Understanding, Azure OpenAI Service, and Foundry IQ 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.
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.
Document Generation Solution Accelerator using Azure OpenAI Service and Azure AI Search.
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 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.
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.
Perform entity extraction using Azure OpenAI structured outputs
A simple chat application that integrates Microsoft Entra ID for user authentication. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
This sample shows how to quickly get started with LlamaIndex.ai on Azure🚀
A simple FastAPI app that is containerized and designed for development on Azure Container Apps.
End-to-end solution sample for a travel assistant built with the Azure Agent Runtime
The Release Manager Assistant (RMA) is an AI-powered solution accelerator that enhances the software release process by integrating multiple systems and providing real-time decision support. Designed to assist release managers, it streamlines the entire release lifecycle.
A simple Flask API app that is containerized and designed for development on Azure Container Apps.
A RAG app to ask questions about rows in a Neon Serverless Postgres database table. Try the live demo using the link
This solution accelerator provides the architecture and working solution for real-time intelligence for operations. Key features include real-time dashboard, anomaly detection, and fabric data agent.
Created by Microsoft
Released July 12, 2022
Latest release 20 days ago