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 3.5 Turbo 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 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 creative writing multi-agent solution to help users write articles.

A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.

This repo is the Java version of Microsoft's sample app for ChatGPT + Enterprise data.

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.

A demonstration of chatting with uploaded images using OpenAI vision models like gpt-4o.

A simple chat application that integrates Microsoft Entra ID for user authentication. Designed for deployment on Azure Container Apps with the Azure Developer CLI.

multi-agents banking assistant with Java and Semantic Kernel

This sample shows how to quickly get started with LlamaIndex.ai on Azure 🚀

Serverless Azure OpenAI Assistant Quick Start Function Calling

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.

Provision an OpenAI account with GPT model and RBAC role for your user account for keyless access.

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.