这是一个在Azure上运行的示例应用程序,采用“检索增强生成”模式。该应用利用Azure AI Search进行信息检索,同时借助Azure OpenAI的大语言模型来提供类似ChatGPT的问答体验。
ai-azd-templates 开源项目推荐(97 个)
ai-azd-templates 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 97 个仓库多智能体自动化解决方案加速器是一种由人工智能驱动的系统,它能够管理一组智能体,根据用户输入来执行各种任务。该系统依托于微软智能体框架、Azure平台、Azure Cosmos DB以及各类基础设施服务,提供了一个参考应用程序,帮助你快速开始使用该系统。
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.
这是一个VoiceRAG模式的简单示例,用于利用RAG配合Azure AI搜索和Azure OpenAI的gpt-4o-realtime-preview模型,驱动交互式语音生成AI体验。
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.
A creative writing multi-agent solution to help users write articles.
Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
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
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
Accelerate marketing content creation with an AI-powered multi-agent system using Microsoft Foundry.
A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
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 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 demonstration of chatting with uploaded images using OpenAI vision models like gpt-4o.
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
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ai-azd-templates。
- 该话题在 GitHub 上共有 97 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.6 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。