AI apps for .NET developers

Get started

Overview

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

Get started

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

Essential concepts

Concept

• How generative AI and LLMs work
• Understand tokens
• Preserve semantic meaning with embeddings
• Semantic search with vector databases
• Prompt engineering
• Evaluation libraries

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

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

Training

Tutorial

• Fundamentals of Azure OpenAI Service
• Generate conversations Azure OpenAI completions
• .NET enterprise chat sample using RAG
• Develop AI agents using Azure OpenAI

API reference

Reference

• ChatClientBuilder
• IChatClient
• IEmbeddingGenerator