This repository serves as a central hub for official Azure AI sample code, targeting developers looking to implement various Azure AI services. It provides end-to-end scenarios and code snippets for common tasks, enabling users to quickly experiment with Azure AI capabilities on their local machines.

How It Works

The repository aggregates sample code from various specialized repositories, covering a wide range of Azure AI services including Agent Service, AI Foundry, AI Search, AI Assistant, and Copilot. It showcases implementations for patterns like Retrieval Augmented Generation (RAG) and provides examples for popular frameworks such as LangChain.js and Prompty.

Quick Start & Requirements

• Samples are typically run via Python or JavaScript, often requiring Azure SDKs and specific Azure AI service configurations.
• Prerequisites vary by sample but may include Python 3.x, Node.js, Azure CLI, and specific Azure AI service subscriptions (e.g., Azure OpenAI, Azure AI Search).
• Refer to individual sample repository READMEs for detailed setup instructions and dependencies.

Highlighted Details

• Comprehensive coverage of Azure AI services, from foundational models to advanced RAG implementations.
• Multi-language support with examples in Python, JavaScript, and .NET.
• Integration examples with popular AI development frameworks like LangChain.js and Prompty.
• Includes quickstart repositories and end-to-end solution samples for practical application.

Maintenance & Community

• Community-driven and officially supported by Microsoft.
• Contributions are welcomed via pull requests.
• Follows the Microsoft Open Source Code of Conduct.
• Issue tracking is available for bug reports and feature requests.

Licensing & Compatibility

• Samples are generally provided under permissive licenses (e.g., MIT), but specific licenses may vary by individual sample repository.
• Designed for use with Azure AI services, requiring compatible Azure subscriptions.

Limitations & Caveats

This repository is a collection of links to other repositories; users must navigate to individual sample repos for specific setup, dependencies, and execution instructions. Some samples may be experimental or require specific Azure service configurations and costs.