Get started

Overview

• Develop .NET apps with AI features
• Microsoft.Extensions.AI libraries
• Microsoft Agent Framework

Get started

• Connect to and prompt an AI model
• Build an Azure AI chat app
• Generate images from text

Essential concepts

Concept

• How generative AI and LLMs work
• Build agents to automate workflows
• Preserve semantic meaning with embeddings
• Semantic search with vector databases
• Data ingestion
• Retrieval-augmented generation

Common tasks

How-To Guide

• Authenticate App Service to Azure OpenAI
• Authenticate App Service to a vector database
• Use Redis with the Semantic Kernel SDK
• Use custom and local AI models with the Semantic Kernel SDK
• Work with content filtering

Training

Tutorial

• Plan and prepare to develop AI solutions on Azure
• Generate conversations Azure OpenAI completions
• .NET enterprise chat sample using RAG
• Develop generative AI apps with Azure OpenAI and Semantic Kernel

Tutorials

Tutorial

• Scale Azure OpenAI with Azure Container Apps
• .NET enterprise chat sample using RAG
• Implement RAG using vector search
• Evaluate a model's response

External resources

sample

• Get started resources
• Azure AI resources
• MCP server resources