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AI apps for .NET developers

Learn to build AI apps with .NET. Browse sample code, tutorials, quickstarts, conceptual articles, and more.

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
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