dotnet add package Microsoft.SemanticKernel --version 1.0.0-rc3
NuGet\Install-Package Microsoft.SemanticKernel -Version 1.0.0-rc3
<PackageReference Include="Microsoft.SemanticKernel" Version="1.0.0-rc3" />
paket add Microsoft.SemanticKernel --version 1.0.0-rc3
#r "nuget: Microsoft.SemanticKernel, 1.0.0-rc3"
// Install Microsoft.SemanticKernel as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel&version=1.0.0-rc3&prerelease // Install Microsoft.SemanticKernel as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel&version=1.0.0-rc3&prerelease
About Semantic Kernel
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.
Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.
Getting Started ⚡
|Product||Versions Compatible and additional computed target framework versions.|
|.NET||net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed.|
|.NET Core||netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed.|
|.NET Standard||netstandard2.0 is compatible. netstandard2.1 was computed.|
|.NET Framework||net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
|MonoAndroid||monoandroid was computed.|
|MonoMac||monomac was computed.|
|MonoTouch||monotouch was computed.|
|Tizen||tizen40 was computed. tizen60 was computed.|
|Xamarin.iOS||xamarinios was computed.|
|Xamarin.Mac||xamarinmac was computed.|
|Xamarin.TVOS||xamarintvos was computed.|
|Xamarin.WatchOS||xamarinwatchos was computed.|
NuGet packages (25)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel:
Control An AI Assistant like CHATGPT using this Library. Integrate This Library With HexaEight Middleware to create API that produce controlled AI responses
Hexalith is a set of libraries to build a micro-service architecture.
Semantic Kernel connector for the oobabooga text-generation-webui open source project. Contains a client for text completion and a client for chat completion.
GitHub repositories (15)
Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel:
Thoughtfully architected, obscenely fast, thoroughly enjoyable web services for all
A reference .NET application implementing an eCommerce site
Run LLaMA/GPT model easily and fast in C#!🤗 It's also easy to integrate LLamaSharp with semantic-kernel, unity, WPF and WebApp.
Index and query any data using LLM and natural language, tracking sources and showing citations.