• Demystifying Retrieval Augmented Generation with .NET - A detailed walkthrough of how to work with your data in .NET, using the concept known as Retrieval Augmented Generation.
• Making AI powered .NET apps more consistent and intelligent with Redis - A walkthrough on using Redis as the multi-purpose data store for intelligent apps. Highligint Retrievel Augmented Generation and Semantic Caching with Redis.
• AugmentR - An example chat bot demonstrating the use of Semantic Kernel in a .NET Aspire project, augmenting chats with data from public internet URLs.
• Vector Search AI Assistant - Demo app showing how to combine data from CosmosDB, with Azure OpenAI Services and queries against cognitive search to create an AI search assistant.
• Vector Search AI Assistant with MongoDB - Demo app showing how to combine data from Azure CosmosDB for MongoDB, with queries against Azure OpenAI Services.
• Samples for Retrieval Augmented Generation on Azure - Includes many examples in C# showing how to work with CosmosDB + MongoDB or NoSQL.

CosmosDB + AI

• Build a Copilot app using Azure Cosmos DB, Azure OpenAI Service and Azure App Service

Uncategorized

• .NET + AI news from the .NET Blog - 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.
• .NET + AI on StackOverflow - Search results for the `.net` + `artificial-intelligence` tags on StackOverflow, a great place to post questions to the community.
• Azure AI Community - Discord community for discussions about Azure AI.
• AI for .NET Developers docs - The .NET + AI documentation site, providing an overview of AI concepts for .NET developers.
• Generative AI with .NET for Beginners - An introductory course from Microsoft, summarizing the differences betwen Generative AI, Machine Learning (ML) and how you can get started with both.
• Source code for AI Beginner Series - The presentation and sample source from the above intro series.
• .NET Conf: Focus on AI 2024 event - A 2024 event hosted by the .NET team and friends. This event includes intros and some deep dives into a variety of .NET + AI related topics.
• Building Intelligent Apps with .NET and Azure - .NET Conf 2023 session with a guided walkthrough to using OpenAI APIs, through the Azure OpenAI SDK, with .NET.

Teams

• Add AI to Your .NET Apps Easily with Prompty - A blog post with examples of how to use Prompty.
• Azure OpenAI - An overview of the Azure OpenAI service and including [Quick Start samples for .NET](https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart?tabs=command-line%2Cpython&pivots=programming-language-csharp).
• Azure OpenAI Service Samples - Sample notebooks demonstrating how to use the Azure OpenAI SDK, with may samples in C#/.NET as Polyglot Notebooks.
• Weaviate - **[Unofficial]** Community supported SDK for using the Weaviate vector DB.
• Redis OM for .NET - A .NET SDK for Redis Search, Object Mapping, and Semantic Caching
• Milvus C# SDK - A .NET SDK for working with the Milvus vector DB solution.
• Pinecone - Official SDK for working with the Pinecone vector DB.
• Qdrant .NET SDK - SDK for working with the Qdrant vector DB.
• Prompt files - using Prompty - An asset class and format for LLM prompts that aims to provide observability, understandability, and portability for developers.
• NRedis Stack .NET SDK - A .NET SDK for working with Redis Enterprise for Vector Similarity Search
• Azure Functions bindings for OpenAI's GPT engine - **[In Development]** Very early review of new OpenAI bindings in Azure Functions, including support for C#.

.NET MAUI - Mobile Development

• Tutorial: Create a recommendation app with .NET MAUI and ChatGPT - Guided tutorial walking through how to create a simple .NET MAUI application that works with ChatGPT.
• Quickstart: Add DALL-E to your .NET MAUI Windows desktop app - Guided tutorial walking through how to create a simple .NET MAUI application that generates images using DALL-E.

Teams

• Building generative AI powered bots with Teams Toolkit and AI library for .NET | .NET Conf 2023 - How to create bots for use in Microsoft Teams, using generative AI and .NET.
• Enable Hybrid Search (Vector + Semantic) for your external data on Copilot for Microsoft 365 using Azure AI Search and .NET - Microsoft sample showing how to integrate Azure Search in a Teams message extension.

ASP.NET Core

• AI Chat App Quickstart using ASP.NET Core and a Blazor frontend - Includes support for working with OpenAI models, local models, models available through GitHub Models, and Azure AI Model Catalog.

CosmosDB + AI

• Getting started using Azure OpenAI Assistants with C# - **[Pre-release]** A walkthrough showing how to use AI assistants with the Azure OpenAI SDK and C#.

Teams

• AutoGen.Net - Official .NET implementation of the [AutoGen](https://microsoft.github.io/autogen/) python project. AutoGen is a multi-agent conversation framework built by MS Research that allows you to easily construct multi-agent conversation and workflows.

Teams

• Introducing the Azure AI Inference SDK - This SDK lets you easily access and use a wide range of AI models from the Azure AI Model Catalog for inference tasks like chat.

Teams

• OllamaSharp source and docs - A library for working with [Ollama](https://www.ollama.com) to run AI models locally.

Teams

• OpenAI SDK for .NET on GitHub - Includes the source, documentation, and samples for working with the library.
• Announcing the OpenAI Library for .NET - Announcement blog post shared on the .NET blog.

Teams

• Semantic Kernel Source on GitHub
• Semantic Kernel Cookbook - A set of examples for achieving common tasks using Semantic Kernel, with Polyglot Notebooks available for .NET developers.

Teams

• Samples for Microsoft.Extensions.AI
• Introducing Microsoft.Extensions.AI preview - A set of core .NET libraries developed in collaboration with developers across the .NET ecosystem, including Semantic Kernel. These libraries provide a unified layer of C# abstractions for interacting with AI services, such as small and large language models (SLMs and LLMs), embeddings, and middleware.

Teams

• LangChain - .NET implementation of the popular LangChain Python project. Note: Currently it's in an early state, and looking for contributors!