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AI Samples for .NET

.NET samples demonstrating how to use AI in your .NET applications.

AI Samples for .NET

Welcome to the official home for .NET samples demonstrating how to use AI in your .NET applications. If you're new to AI, start at the top and work your way down. Otherwise, jump in wherever suits your interests.

Microsoft.Extensions.AI (preview)

Microsoft.Extensions.AI is a set of core .NET libraries developed in collaboration with 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) and embeddings.

Core benefits:

Unified API: Offers a consistent and standard set of APIs and conventions for integrating AI services into .NET applications.
Flexibility: Allows .NET library authors to use AI services without forcing a specific AI provider, making it parameterizable with any provider.
Ease of Use: Enables .NET application developers to experiment with different packages using the same underlying abstractions and to utilize a single API throughout their application.
Componentization: Facilitates the addition of new capabilities and simplifies the componentization and testing of applications.

For more details, see the Introducing Microsoft.Extensions.AI Preview blog post.

Topic	GitHub Link
Abstraction implementations	GitHub Link
Azure OpenAI	GitHub Link
OpenAI	GitHub Link
Azure AI Inference	GitHub Link
Ollama	GitHub Link

Microsoft.Extensions.AI.Evaluation (preview)

Microsoft.Extensions.AI.Evaluation is a set of .NET libraries that provide the tooling necessary to evaluate the quality and efficacy of LLM responses in your intelligent applications.

The Microsoft.Extensions.AI.Evaluation libraries are built on top of core AI abstractions defined in the Microsoft.Extensions.AI libraries above. For more details, see the following blog post: Evaluate the quality of your AI applications with ease

Topic	GitHub Link
Microsoft.Extensions.AI.Evaluation	API Usage Examples

Build 2024 - Infusing your .NET Apps with AI: Practical Tools and Techniques

Discover how to bring AI into your .NET application! This session covers the tools, libraries, and best practices for incorporating LLMs or other AI capabilities to create an "intelligent app". We'll explore practical examples, including how to leverage Azure AI services and the .NET AI ecosystem, to enhance your apps with AI.

Youtube: Infusing your .NET Apps with AI: Practical Tools and Techniques

Tutorial: Infusing your .NET Apps with AI: Practical Tools and Techniques

#	Topic	YouTube Link and Time	GitHub Link
1	Hello Semantic Kernel	3m 0s	Hello Semantic Kernel
2	Add Chat History	5m 40s	Add Chat History
3	Add Plugin - Function Call	7m 10s	Add Plugin - Function Call
4	Add Logging	9m 24s	Add Logging
5	Add Plugin - Bing Search	11m 15s	Add Plugin - Bing Search
6	Modify Kernel Behavior with Dependency Injection	12m 37s	Modifying Kernel Behavior with Dependency Injection
7	Using Semantic Kernel in a Web App	15m 57s	Using Semantic Kernel in a Web App

Quickstarts using OpenAI

#	Topic	GitHub Link
1	Text Summary	Hike Benefits Summary Project
2	Hiker AI	Hiker AI Project
3	Chat Context/Data	Chatting About my Previous Hikes Project
4	Hiker AI Pro (Tool extension)	Hiker AI Pro
5	Generating images	Hike Images Project
REF	Using Milvus	Coming Soon
REF	Using Qdrant	Coming Soon

Quickstarts using the Azure OpenAI SDK

#	Topic	GitHub Link
1	Text Summary	Hike Benefits Summary Project
2	Hiker AI	Hiker AI Project
3	Chat Context/Data	Chatting About my Previous Hikes Project
4	Hiker AI Pro (Tool extension)	Hiker AI Pro
5	Generating images	Hike Images Project

Chat samples

#	Topic	GitHub Link
1	Customer Support	Customer Support Project

LLM Core Concepts

#	Topic	GitHub Link
REF	Tokenizer	Coming Soon
REF	Embeddings	Coming Soon
REF	RAG	Coming Soon
REF	Prompts / Prompt Engineering	Coming Soon

End to End Examples

#	Topic	GitHub Link
E2E	Azure Search .	Azure Search Repository
E2E	E-Shop Sample	E-Shop Repository

ML.NET GenAI

#	Topic	GitHub Link
REF	Phi	Phi
REF	LLaMA	LLaMA

Local Embedding Models

#	Topic	GitHub Link
REF	Clip	Coming Soon

Tokenizers

#	Topic	GitHub Link
REF	TikToken	Coming Soon

Vector Databases

#	Topic	GitHub Link
REF	Azure AI Search	Coming Soon
REF	PostgreSQL + pgvector	Coming Soon
REF	Milvus	Coming Soon
REF	Qdrant	Coming Soon

Reference Examples

#	Topic	GitHub Link
REF	Vector<T>	Coming Soon

.NET Foundation

There are many .NET related projects on GitHub.

.NET home repo - links to 100s of .NET projects, from Microsoft and the community.
ASP.NET Core home - the best place to start learning about ASP.NET Core.

This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the .NET Foundation Code of Conduct.

License

.NET (including the csharp-notebooks repo) is licensed under the MIT license.

License

codemillmatt/ai-samples

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