Note:
This repository is a work in progress and will be updated frequently.
Azure AI Foundry, Agents, and Azure OpenAI Service Samples
This repository provides practical resources and code samples for building solutions with Azure OpenAI Service, Azure AI Foundry, and advanced agent-based architectures. These samples help accelerate your adoption of Azure's latest AI capabilities for language, vision, and agentic workflows.
🚀 Get Started
Prerequisites
- Azure Account - If you're new to Azure, get an Azure account for free and you'll get some free Azure credits to get started.
- Azure OpenAI Service Access - For more details, see the Azure OpenAI Service documentation on how to get access.
- Azure AI Foundry Resource - For agent-based solutions, you'll need access to Azure AI Foundry. See the Azure AI Foundry documentation for setup details.
- Model Deployments - Deploy models like GPT-4, GPT-3.5 Turbo, DALL-E, and Whisper. See the documentation for deploying models and model availability.
Project Setup
Each solution folder contains detailed setup and installation instructions. Follow the instructions provided with these solutions to get going.
📂 Solutions
⚠️ IMPORTANT NOTE ⚠️
Starter templates, instructions, code samples and resources under Agent_Based_Samples are designed to assist in accelerating development of agents for specific scenarios. It is important that you review all provided resources and carefully test Agent behavior in the context of your use case: Learn more: AI Foundry Agent Service.
Certain Agent offerings may be subject to legal and regulatory requirements, may require licenses, or may not be suitable for all industries, scenarios, or use cases. By using any sample, you are acknowledging that Agents or other output created using that sample are solely your responsibility, and that you will comply with all applicable laws, regulations, and relevant safety standards, terms of service, and codes of conduct.
🤖 Agent-Based Solutions (Recommended)
- Customer Assist Solution: Modern multi-agent based architecture for customer support scenarios.
- Release Management Solution: Streamline and automate release management using agents to bring data from multiple sources.
- Sales Analyst: Analyze sales and revenue trends to identify prescriptive insights & sales improvement opportunities.
- Market Research Analyst: Powerful end-to-end research solution designed to deliver timely, relevant, and structured market intelligence.
- Document Generator: Bridges the gap between GitHub Copilot and your organization’s knowledge ecosystem.
🚀 Solution Accelerators
- eCommerce Solution Accelerator: Build a multimodal, AI-powered shopping experience with Azure OpenAI and Azure AI Search.
- Advanced RAG for Financial Domain: Advanced Retrieval-Augmented Generation (RAG) techniques for financial data with improved accuracy and performance.
📚 Additional Resources (Legacy)
- Basic Samples: Small code samples and snippets for integration into your applications.
- End-to-End Solutions: Complete solutions for specific use cases and industry scenarios.
📚 Resources
Documentation
- Azure AI Foundry Documentation
- Azure OpenAI Service Documentation
- Model Overview
- How to create an Azure OpenAI resource
- Apply for access to Azure OpenAI Service
Getting Started Guides
- Azure AI Foundry Quickstart
- Azure OpenAI Quickstart
⚠️ Responsible AI
Microsoft is committed to responsible AI. Please review the Responsible AI guidelines and Microsoft's principles for responsible AI use before deploying solutions.
📝 Trademarks
This project may contain trademarks or logos for projects, products, or services. Use of Microsoft trademarks or logos must follow Microsoft's Trademark & Brand Guidelines. Third-party trademarks are subject to their respective policies.
