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。
azure-ai-search 开源项目推荐(314 个)
azure-ai-search 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 314 个仓库Enterprise-grade landing zone for AI agent applications on Azure. Deploy the secure infrastructure, the agent app, or both — built on Microsoft Foundry and Microsoft Agent Framework, with Zero-Trust networking, observability and IaC.
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 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.
Data ingestion service for the Agent Landing Zone. Processes PDFs, images, spreadsheets, transcripts and SharePoint content into grounding knowledge for agents, with smart chunking and multimodal embeddings.
Build a generative AI application using LangChain.js, from local to Azure
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
Learn How To Observe, Manage, and Scale, Agentic AI Apps Using Azure AI Foundry - with this hands-on workshop
Resources for the AI Tour Talk on "Advanced Retrieval for your AI Apps and Agents" on Azure - slides, talk recording, demo recording, demo setup instructions.
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.
Azure AI Search Simulator provides a lightweight environment to emulate Azure AI Search in pull or push modes. It offers a compatible API surface and works seamlessly with the official SDK, enabling local development, testing, and debugging without requiring a live search service.
AZD template for deploying Azure Copilot Studio with Azure AI search
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.
Workshop for building intelligent AI solutions using Azure AI Foundry, featuring Vector Search, RAG, Agentic AI, and multi-agent orchestration with LangChain and Azure AI Search.
A simple sample UI for your Azure AI Search index. Built with React, TypeScript and Azure Static Web Apps
Reusable accelerator for Foundry IQ live grounding with Fabric Ontology and MCP Server Knowledge Sources.
该项目在 GitHub 上没有填写描述
File-first memory infrastructure for AI agents, built with .NET 8 and Azure backends
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/azure-ai-search。
- 该话题在 GitHub 上共有 314 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 1.2 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。