There are 1 repository under ai-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.
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.
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.
A creative writing multi-agent solution to help users write articles.
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.
A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
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.
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
Multi-agent banking assistant with Java and Langchain4j
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.
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.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
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🚀
This sample shows how to quickly get started with LlamaIndex.ai on Azure 🚀
The Chat App Protocol compliant user-interface building block, for your chat-gpt like RAG pattern applications built with Azure OpenAI and Azure AI Search.
Serverless Azure OpenAI Assistant Quick Start Function Calling
Perform entity extraction using Azure OpenAI structured outputs
A simple C#/.NET chat application using .NET Aspire and Microsoft.Extensions.AI. This uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
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.
End-to-end solution sample for a travel assistant built with the Azure Agent Runtime
TrafficJamAnalyzer is an advanced tool designed to help monitor and analyze traffic conditions by processing images from CCTV cameras around the roads of Tenerife. By utilizing artificial intelligence (AI) with Semantic Kernel and OpenAI, the application accurately assesses traffic density and identifies locations with potential traffic jams.
Provision an OpenAI account with GPT model and RBAC role for your user account for keyless access.
Reusable OpenAI secure UI and infrastructure for AI Chat with Azure
Spring Petclinic Microservices with AI on Azure Container Apps
A simple C#/.NET chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
Example Azure OpenAI deployment and RBAC role for your user account for keyless access
A C#/.NET chat application using .NET Aspire and Semantic Kernel with OpenAI. This uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
Spring PetClinic With OpenAI and Langchain4j - Launch Your First AI app on Azure Container Apps
A C# sample of chatting with uploaded images using OpenAI vision models like gpt-4o.