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

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 a generative AI application using LangChain.js, from local to Azure

This sample has the full End2End process of creating RAG application with Prompty and AI Studio. 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 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.

IP and use case assets for CSU

This repository offers a Python framework for a retrieval-augmented generation (RAG) pipeline using text and images from MHTML documents, leveraging Azure AI and OpenAI services. It includes ingestion and enrichment flows, a RAG with Vision pipeline, and evaluation tools.

Explore cutting-edge examples of advanced AI technologies. This repository offers insights for developing innovative, intelligent solutions that leverage the power of AI to enhance applications and deliver next-generation experiences.

ASP.NET Core with Azure AI Search

Azure AI Search integration for Xperience by Kentico

Workshop for Azure OpenAI Service

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.

Hands on labs originally created for the Step by Step for partners motion in Portugal and now available for everyone.

Artificial Intelligence Samples

This project combines Azure AI Search, Azure OpenAI Service, LangChain, React.JS, and Python FastAPI to create an intelligent system for managing Jira issues. It features advanced AI search for seamless document retrieval, a user-friendly React.JS front-end, and a robust Python FastAPI back-end.

Using Azure OpenAI to demo RAG pattern with Azure Search as storage

Awesome list of apps powered by Azure AI platform.

In this repo implementation of Azure Search Index with .Net Web API

Azure AI Search および Azure Cosmos DB for MongoDB vCore を使ってベクター検索をするサンプルです。