
azureai-samples
Official community-driven Azure AI Examples
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The Azure AI Samples repository is a collection of official Azure AI sample code and examples, including notebooks and code snippets for common developer tasks. It provides end-to-end samples for trying out Azure AI scenarios on a local machine. The repository is open source and offers guidance on contributing and links to additional repositories for various AI-related tasks and projects.
README:
Welcome to the Azure AI Samples repository!
This repository acts as the top-level directory for official Azure AI sample code and examples. It includes notebooks and sample code that contain end-to-end samples as well as smaller code snippets for common developer tasks.
This repository is entirely open source, guidance on how to contribute and links to additional repositories are provided below.
Use the samples in this repository to try out Azure AI scenarios on your local machine!
- Azure/azure-sdk-for-python - Repo containing Python SDK samples for the Azure AI Agent Service.
- Azure/azure-sdk-for-net - Repo containing .NET SDK samples for the Azure AI Agent Service.
- Azure-Samples/azureai-travel-agent-python - Sample showing how to build a travel agent using the Azure AI Agent Service in Python.
- Azure-Samples/azure-ai-projects-file-search - A simple Python Quart app that streams responses from Azure AI Agents to an HTML/JS frontend using Server-Sent Events (SSEs).
- Azure/aistudio-copilot-sample - Quickstart repo for building an enterprise chat copilot in Azure AI Studio.
- Azure-Samples/contoso-chat - End-to-end solution sample for a custom RAG-based retail copilot built code-first with Prompty & Azure AI Studio.
- Azure-Samples/contoso-creative-writer - End-to-end solution sample for a custom multi-agent creative writer solution built code-first with Prompty & Azure AI Studio.
- Azure-Samples/azure-search-openai-demo - Repo containing end to end samples for running the Retrieval Augmented Generation pattern across data using Python.
- Azure-Samples/azure-search-openai-javascript - Repo containing end to end samples for running the Retrieval Augmented Generation pattern across data using JavaScript.
- Azure-Samples/azure-search-openai-demo-csharp - Repo containing end to end samples for running the Retrieval Augmented Generation pattern across data using .NET.
- Azure-Samples/azure-search-openai-demo-java - Repo containing end to end samples for running the Retrieval Augmented Generation pattern across data using Java.
- Azure-Samples/langchainjs-quickstart-demo - Sample showing how to quickly develop generative AI apps using LangChain.js, starting with Ollama and local models and transition to Azure for production.
- Azure-Samples/azure-openai-rag-workshop - Repo contains both a sample and a step-by-step workshop on how to build a custom chatbot with Retrieval Augmented Generation using JavaScript.
- Azure-Samples/azure-ai-assistant-tool - Repo containing the Azure AI Assistant Tool and Python middleware libraries for quick experimentation, testing, and debugging of Azure OpenAI assistants in your local environment.
- microsoft/chat-copilot - Sample showing how to build LLM chat copilot.
- openai/openai-cookbook - Example code for common tasks within OpenAI.
- Azure-Samples/serverless-chat-langchainjs - Sample implementing a serverless ChatGPT with Retrieval-Augmented-Generation using LangChain.js, that can run locally with Ollama and Mistral 7B.
- [https://aka.ms/phi-3cookbook] - Examples and code for common tasks using the Phi Family of Small Language Models.
We welcome contributions and suggestions! Please see the contributing guidelines for details.
This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.
If you find a bug in the source code or a mistake in the documentation, feel free to submit bug report . Or you could submit a pull request with a fix.
If there's an sample that you'd like to see added, feel free to file a Feature Request.
If you'd like to implement it yourself, please refer to our contributing guidelines.
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