dotnet-ai-resources

A blog post with examples of how to use Prompty.

An overview of the Azure OpenAI service and including

Sample notebooks demonstrating how to use the Azure OpenAI SDK, with may samples in C#/.NET as Polyglot Notebooks.

A .NET SDK for working with the Milvus vector DB solution.

A .NET SDK for working with Redis Enterprise for Vector Similarity Search

Includes support for working with OpenAI models, local models, models available through GitHub Models, and Azure AI Model Catalog.

How to create bots for use in Microsoft Teams, using generative AI and .NET.

Microsoft sample showing how to integrate Azure Search in a Teams message extension.

Guided tutorial walking through how to create a simple .NET MAUI application that generates images using DALL-E.

Guided tutorial walking through how to create a simple .NET MAUI application that works with ChatGPT.

The .NET + AI documentation site, providing an overview of AI concepts for .NET developers.

Discord community for discussions about Azure AI.

.NET Conf 2023 session with a guided walkthrough to using OpenAI APIs, through the Azure OpenAI SDK, with .NET.

An introductory course from Microsoft, summarizing the differences betwen Generative AI, Machine Learning (ML) and how you can get started with both.

This is the AI category of the official .NET blog from Microsoft, where you can find the latest AI-specific posts from the .NET team.

Search results for the

Announcement blog post shared on the .NET blog.

Includes the source, documentation, and samples for working with the library.

A complete set of .NET tools for creating and using Open AI and Azure Open AI Assistants with support for vector stores, code interpreter files, and function calling with local .NET functions and REST APIs with auth.

An example chat bot demonstrating the use of Semantic Kernel in a .NET Aspire project, augmenting chats with data from public internet URLs.

A detailed walkthrough of how to work with your data in .NET, using the concept known as Retrieval Augmented Generation.

A walkthrough on using Redis as the multi-purpose data store for intelligent apps. Highligint Retrievel Augmented Generation and Semantic Caching with Redis.

Includes many examples in C# showing how to work with CosmosDB + MongoDB or NoSQL.

Demo app showing how to combine data from CosmosDB, with Azure OpenAI Services and queries against cognitive search to create an AI search assistant.

Official .NET implementation of the

An eCommerce sample application built on .NET 8, .NET Aspire, and using Semantic Kernel to demonstrate an AI chat bot.

A sample customer support application for the eShop eCommerce solution. This sample demonstrates a variety of AI features: data generation, sentiment analysis, entity extraction, summarization, classification, as well as chat interactions.