Microsoft.SemanticKernel.Core
1.21.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Core --version 1.21.1
NuGet\Install-Package Microsoft.SemanticKernel.Core -Version 1.21.1
<PackageReference Include="Microsoft.SemanticKernel.Core" Version="1.21.1" />
paket add Microsoft.SemanticKernel.Core --version 1.21.1
#r "nuget: Microsoft.SemanticKernel.Core, 1.21.1"
// Install Microsoft.SemanticKernel.Core as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel.Core&version=1.21.1 // Install Microsoft.SemanticKernel.Core as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel.Core&version=1.21.1
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. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-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. |
-
.NETStandard 2.0
- Microsoft.Extensions.DependencyInjection (>= 8.0.0)
- Microsoft.SemanticKernel.Abstractions (>= 1.21.1)
-
net8.0
- Microsoft.Extensions.DependencyInjection (>= 8.0.0)
- Microsoft.SemanticKernel.Abstractions (>= 1.21.1)
NuGet packages (81)
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. |
|
Microsoft.SemanticKernel.Connectors.OpenAI
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image. |
|
Microsoft.SemanticKernel.Connectors.AzureOpenAI
Semantic Kernel connectors for Azure OpenAI. Contains clients for chat completion, embedding and DALL-E text to image. |
|
Microsoft.SemanticKernel.Plugins.Memory
Semantic Kernel Memory Plugin |
|
Microsoft.SemanticKernel.Plugins.Core
Semantic Kernel core plugins. |
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!
|
|
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 |
---|---|---|
1.33.0 | 997 | 2 days ago |
1.32.0 | 31,554 | a month ago |
1.31.0 | 23,034 | a month ago |
1.30.0 | 27,532 | 2 months ago |
1.29.0 | 60,474 | 2 months ago |
1.28.0 | 21,541 | 2 months ago |
1.27.0 | 10,676 | 2 months ago |
1.26.0 | 36,952 | 2 months ago |
1.25.0 | 58,854 | 3 months ago |
1.24.1 | 44,427 | 3 months ago |
1.23.0 | 5,104 | 3 months ago |
1.22.0 | 42,811 | 3 months ago |
1.21.1 | 79,789 | 3 months ago |
1.21.0 | 1,497 | 4 months ago |
1.20.0 | 45,827 | 4 months ago |
1.19.0 | 20,127 | 4 months ago |
1.18.2 | 58,221 | 4 months ago |
1.18.1-rc | 19,942 | 4 months ago |
1.18.0-rc | 20,357 | 5 months ago |
1.17.2 | 106,524 | 5 months ago |
1.17.1 | 93,315 | 5 months ago |
1.17.0 | 12,526 | 5 months ago |
1.16.2 | 37,755 | 5 months ago |
1.16.1 | 37,307 | 6 months ago |
1.16.0 | 35,585 | 6 months ago |
1.15.1 | 103,885 | 6 months ago |
1.15.0 | 82,448 | 7 months ago |
1.14.1 | 105,209 | 7 months ago |
1.14.0 | 30,646 | 7 months ago |
1.13.0 | 91,899 | 8 months ago |
1.12.0 | 17,196 | 8 months ago |
1.11.1 | 87,718 | 8 months ago |
1.11.0 | 5,249 | 8 months ago |
1.10.0 | 91,416 | 8 months ago |
1.9.0 | 46,627 | 9 months ago |
1.8.0 | 15,506 | 9 months ago |
1.7.1 | 71,913 | 9 months ago |
1.7.0 | 39,021 | 9 months ago |
1.6.3 | 81,567 | 10 months ago |
1.6.2 | 85,899 | 10 months ago |
1.6.1 | 15,098 | 10 months ago |
1.5.0 | 81,953 | 2/27/2024 |
1.4.0 | 117,978 | 2/14/2024 |
1.3.1 | 20,514 | 2/12/2024 |
1.3.0 | 87,754 | 1/31/2024 |
1.2.0 | 32,855 | 1/24/2024 |
1.1.0 | 98,782 | 1/16/2024 |
1.0.1 | 99,923 | 12/18/2023 |
1.0.0-rc4 | 8,898 | 12/13/2023 |
1.0.0-rc3 | 21,056 | 12/6/2023 |
1.0.0-rc2 | 4,245 | 12/5/2023 |
1.0.0-rc1 | 4,224 | 12/5/2023 |
1.0.0-beta8 | 125,758 | 11/16/2023 |
1.0.0-beta7 | 21,403 | 11/16/2023 |
1.0.0-beta6 | 19,452 | 11/9/2023 |
1.0.0-beta5 | 10,490 | 11/6/2023 |
1.0.0-beta4 | 20,422 | 10/30/2023 |
1.0.0-beta3 | 17,858 | 10/23/2023 |
1.0.0-beta2 | 16,085 | 10/16/2023 |
1.0.0-beta1 | 19,018 | 10/9/2023 |
0.24.230918.1-preview | 100,534 | 9/18/2023 |
0.24.230912.2-preview | 11,926 | 9/12/2023 |
0.24.230911.2-preview | 1,336 | 9/11/2023 |
0.23.230906.2-preview | 9,904 | 9/7/2023 |
0.22.230905.3-preview | 5,250 | 9/5/2023 |
0.21.230828.2-preview | 22,195 | 8/28/2023 |
0.20.230821.4-preview | 12,985 | 8/21/2023 |
0.19.230804.2-preview | 106,359 | 8/5/2023 |
0.18.230725.3-preview | 58,681 | 7/25/2023 |
0.17.230718.1-preview | 69,922 | 7/18/2023 |
0.17.230711.7-preview | 84,499 | 7/11/2023 |
0.17.230704.3-preview | 42,924 | 7/4/2023 |
0.17.230629.1-preview | 8,475 | 6/29/2023 |
0.17.230626.1-preview | 3,641 | 6/26/2023 |
0.16.230615.1-preview | 24,153 | 6/16/2023 |
0.15.231219.1-preview | 4,973 | 12/19/2023 |
0.15.230609.2-preview | 7,493 | 6/9/2023 |
0.15.230531.5-preview | 23,549 | 6/1/2023 |
0.14.547.1-preview | 23,531 | 5/16/2023 |
0.13.442.1-preview | 37,423 | 5/9/2023 |
0.13.277.1-preview | 15,180 | 4/25/2023 |
0.12.207.1-preview | 3,447 | 4/19/2023 |