Microsoft.SemanticKernel.Core
1.31.0
Prefix Reserved
.NET 8.0
This package targets .NET 8.0. The package is compatible with this framework or higher.
.NET Standard 2.0
This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
dotnet add package Microsoft.SemanticKernel.Core --version 1.31.0
NuGet\Install-Package Microsoft.SemanticKernel.Core -Version 1.31.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Microsoft.SemanticKernel.Core" Version="1.31.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.SemanticKernel.Core --version 1.31.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.SemanticKernel.Core, 1.31.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.SemanticKernel.Core as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel.Core&version=1.31.0 // Install Microsoft.SemanticKernel.Core as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel.Core&version=1.31.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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 ⚡
- Learn more at the documentation site.
- Join the Discord community.
- Follow the team on Semantic Kernel blog.
- Check out the GitHub repository for the latest updates.
| 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 is compatible. net8.0-android was computed. net8.0-browser 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. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.0
- Microsoft.Extensions.DependencyInjection (>= 8.0.1)
- Microsoft.SemanticKernel.Abstractions (>= 1.31.0)
- System.Numerics.Tensors (>= 8.0.0)
- System.Text.Json (>= 8.0.5)
-
net8.0
- Microsoft.Extensions.DependencyInjection (>= 8.0.1)
- Microsoft.SemanticKernel.Abstractions (>= 1.31.0)
- System.Numerics.Tensors (>= 8.0.0)
- System.Text.Json (>= 8.0.5)
NuGet packages (78)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Core:
| Package | Downloads |
|---|---|
|
Microsoft.SemanticKernel
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2. Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps. |
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Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image. |
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Microsoft.SemanticKernel.Plugins.Memory
Semantic Kernel Memory Plugin |
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Microsoft.SemanticKernel.Plugins.Core
Semantic Kernel core plugins. |
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Microsoft.SemanticKernel.PromptTemplates.Handlebars
Semantic Kernel Handlebars Prompt Template Engine |
GitHub repositories (3)
Showing the top 3 popular GitHub repositories that depend on Microsoft.SemanticKernel.Core:
| Repository | Stars |
|---|---|
|
dotnet/ai-samples
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axzxs2001/Asp.NetCoreExperiment
原来所有项目都移动到**OleVersion**目录下进行保留。新的案例装以.net 5.0为主，一部分对以前案例进行升级，一部分将以前的工作经验总结出来，以供大家参考！
|
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AIDotNet/GraphRag.Net
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中
|
| Version | Downloads | Last updated |
|---|---|---|
| 1.31.0 | 950 | 11/27/2024 |
| 1.30.0 | 9,126 | 11/19/2024 |
| 1.29.0 | 22,230 | 11/13/2024 |
| 1.28.0 | 12,780 | 11/7/2024 |
| 1.27.0 | 7,707 | 11/5/2024 |
| 1.26.0 | 18,040 | 10/31/2024 |
| 1.25.0 | 32,278 | 10/23/2024 |
| 1.24.1 | 34,604 | 10/18/2024 |
| 1.23.0 | 4,375 | 10/17/2024 |
| 1.22.0 | 30,508 | 10/8/2024 |
| 1.21.1 | 65,124 | 9/25/2024 |
| 1.21.0 | 1,307 | 9/25/2024 |
| 1.20.0 | 37,360 | 9/17/2024 |
| 1.19.0 | 17,259 | 9/10/2024 |
| 1.18.2 | 53,218 | 9/4/2024 |
| 1.18.1-rc | 15,713 | 8/27/2024 |
| 1.18.0-rc | 19,130 | 8/12/2024 |
| 1.17.2 | 89,456 | 8/21/2024 |
| 1.17.1 | 83,259 | 8/7/2024 |
| 1.17.0 | 11,730 | 8/7/2024 |
| 1.16.2 | 33,976 | 7/30/2024 |
| 1.16.1 | 34,369 | 7/23/2024 |
| 1.16.0 | 32,722 | 7/16/2024 |
| 1.15.1 | 93,486 | 7/3/2024 |
| 1.15.0 | 77,432 | 6/19/2024 |
| 1.14.1 | 101,067 | 6/5/2024 |
| 1.14.0 | 28,161 | 6/4/2024 |
| 1.13.0 | 85,998 | 5/20/2024 |
| 1.12.0 | 16,634 | 5/16/2024 |
| 1.11.1 | 82,307 | 5/10/2024 |
| 1.11.0 | 5,032 | 5/8/2024 |
| 1.10.0 | 87,035 | 4/29/2024 |
| 1.9.0 | 42,092 | 4/24/2024 |
| 1.8.0 | 14,118 | 4/22/2024 |
| 1.7.1 | 69,768 | 4/5/2024 |
| 1.7.0 | 36,591 | 4/3/2024 |
| 1.6.3 | 75,043 | 3/19/2024 |
| 1.6.2 | 78,751 | 3/14/2024 |
| 1.6.1 | 14,412 | 3/12/2024 |
| 1.5.0 | 79,607 | 2/27/2024 |
| 1.4.0 | 112,968 | 2/14/2024 |
| 1.3.1 | 19,234 | 2/12/2024 |
| 1.3.0 | 84,590 | 1/31/2024 |
| 1.2.0 | 31,901 | 1/24/2024 |
| 1.1.0 | 96,542 | 1/16/2024 |
| 1.0.1 | 94,858 | 12/18/2023 |
| 1.0.0-rc4 | 8,604 | 12/13/2023 |
| 1.0.0-rc3 | 20,621 | 12/6/2023 |
| 1.0.0-rc2 | 4,237 | 12/5/2023 |
| 1.0.0-rc1 | 4,103 | 12/5/2023 |
| 1.0.0-beta8 | 123,111 | 11/16/2023 |
| 1.0.0-beta7 | 20,219 | 11/16/2023 |
| 1.0.0-beta6 | 19,140 | 11/9/2023 |
| 1.0.0-beta5 | 10,131 | 11/6/2023 |
| 1.0.0-beta4 | 19,134 | 10/30/2023 |
| 1.0.0-beta3 | 17,711 | 10/23/2023 |
| 1.0.0-beta2 | 15,341 | 10/16/2023 |
| 1.0.0-beta1 | 18,924 | 10/9/2023 |
| 0.24.230918.1-preview | 97,137 | 9/18/2023 |
| 0.24.230912.2-preview | 11,477 | 9/12/2023 |
| 0.24.230911.2-preview | 1,326 | 9/11/2023 |
| 0.23.230906.2-preview | 9,789 | 9/7/2023 |
| 0.22.230905.3-preview | 5,238 | 9/5/2023 |
| 0.21.230828.2-preview | 21,478 | 8/28/2023 |
| 0.20.230821.4-preview | 12,943 | 8/21/2023 |
| 0.19.230804.2-preview | 105,772 | 8/5/2023 |
| 0.18.230725.3-preview | 57,802 | 7/25/2023 |
| 0.17.230718.1-preview | 67,007 | 7/18/2023 |
| 0.17.230711.7-preview | 84,446 | 7/11/2023 |
| 0.17.230704.3-preview | 42,869 | 7/4/2023 |
| 0.17.230629.1-preview | 8,409 | 6/29/2023 |
| 0.17.230626.1-preview | 3,626 | 6/26/2023 |
| 0.16.230615.1-preview | 23,942 | 6/16/2023 |
| 0.15.231219.1-preview | 4,511 | 12/19/2023 |
| 0.15.230609.2-preview | 7,353 | 6/9/2023 |
| 0.15.230531.5-preview | 23,353 | 6/1/2023 |
| 0.14.547.1-preview | 23,434 | 5/16/2023 |
| 0.13.442.1-preview | 35,931 | 5/9/2023 |
| 0.13.277.1-preview | 15,088 | 4/25/2023 |
| 0.12.207.1-preview | 3,445 | 4/19/2023 |