Microsoft.SemanticKernel.Abstractions
0.12.207.1-preview
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Abstractions --version 0.12.207.1-preview
NuGet\Install-Package Microsoft.SemanticKernel.Abstractions -Version 0.12.207.1-preview
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="0.12.207.1-preview" />
paket add Microsoft.SemanticKernel.Abstractions --version 0.12.207.1-preview
#r "nuget: Microsoft.SemanticKernel.Abstractions, 0.12.207.1-preview"
// Install Microsoft.SemanticKernel.Abstractions as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel.Abstractions&version=0.12.207.1-preview&prerelease // Install Microsoft.SemanticKernel.Abstractions as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel.Abstractions&version=0.12.207.1-preview&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.
SK supports prompt templating, function chaining, vectorized memory, and intelligent planning capabilities out of the box.
Semantic Kernel is designed to support and encapsulate several design patterns from the latest in AI research, such that developers can infuse their applications with complex skills like prompt chaining, recursive reasoning, summarization, zero/few-shot learning, contextual memory, long-term memory, embeddings, semantic indexing, planning, and accessing external knowledge stores as well as your own data.
A skill refers to a domain of expertise made available to the kernel as a single function, or as a group of functions related to the skill. The design of SK skills has prioritized maximum flexibility for the developer to be both lightweight and extensible.
Getting Started ⚡
- Check out the GitHub repository for the latest updates
- Learn more at the documentation site
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-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. |
-
.NETStandard 2.0
- Microsoft.Bcl.HashCode (>= 1.1.0)
- Microsoft.Extensions.Logging (>= 6.0.0)
- System.Linq.Async (>= 6.0.1)
- System.Text.Json (>= 6.0.0)
NuGet packages (38)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Abstractions:
Package | Downloads |
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Microsoft.SemanticKernel.Core
Semantic Kernel core orchestration, runtime and functions. This package is automatically installed by 'Microsoft.SemanticKernel' package with other useful packages. Install this package manually only if you are selecting individual Semantic Kernel components. |
|
Microsoft.KernelMemory.Abstractions
Kernel Memory is a Copilot/Semantic Kernel Plugin and Memory Web Service to index and query any data and documents, using LLM and natural language, tracking sources and showing citations. The package contains the interfaces and models shared by all Kernel Memory packages. |
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Microsoft.SemanticKernel.Plugins.Web
Semantic Kernel web plugins: search the web, download files, etc. |
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Microsoft.KernelMemory.SemanticKernelPlugin
Kernel Memory Plugin allows to use Kernel Memory Service as a Semantic Kernel plugin, to index and query any data and documents, using LLM and natural language, tracking sources and showing citations. |
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Microsoft.SemanticKernel.Plugins.MsGraph
Semantic Kernel Microsoft Graph Plugins: access your tenant data, schedule meetings, send emails, etc. |
GitHub repositories (7)
Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel.Abstractions:
Repository | Stars |
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dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
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SciSharp/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
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SciSharp/BotSharp
AI Multi-Agent Framework in .NET
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microsoft/kernel-memory
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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Richasy/FantasyCopilot
A new-age AI desktop tool
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Version | Downloads | Last updated |
---|---|---|
1.32.0 | 15,067 | 12/9/2024 |
1.31.0 | 18,446 | 11/27/2024 |
1.30.0 | 23,869 | 11/19/2024 |
1.29.0 | 47,917 | 11/13/2024 |
1.28.0 | 19,518 | 11/7/2024 |
1.27.0 | 9,831 | 11/5/2024 |
1.26.0 | 38,925 | 10/31/2024 |
1.25.0 | 49,808 | 10/23/2024 |
1.24.1 | 44,234 | 10/18/2024 |
1.23.0 | 4,964 | 10/17/2024 |
1.22.0 | 39,632 | 10/8/2024 |
1.21.1 | 83,108 | 9/25/2024 |
1.21.0 | 1,441 | 9/25/2024 |
1.20.0 | 45,800 | 9/17/2024 |
1.19.0 | 19,020 | 9/10/2024 |
1.18.2 | 57,520 | 9/4/2024 |
1.18.1-rc | 18,195 | 8/27/2024 |
1.18.0-rc | 19,694 | 8/12/2024 |
1.17.2 | 100,992 | 8/21/2024 |
1.17.1 | 106,669 | 8/7/2024 |
1.17.0 | 11,999 | 8/7/2024 |
1.16.2 | 47,568 | 7/30/2024 |
1.16.1 | 36,126 | 7/23/2024 |
1.16.0 | 34,534 | 7/16/2024 |
1.15.1 | 105,066 | 7/3/2024 |
1.15.0 | 79,390 | 6/19/2024 |
1.14.1 | 104,548 | 6/5/2024 |
1.14.0 | 31,360 | 6/4/2024 |
1.13.0 | 96,680 | 5/20/2024 |
1.12.0 | 16,674 | 5/16/2024 |
1.11.1 | 95,980 | 5/10/2024 |
1.11.0 | 5,201 | 5/8/2024 |
1.10.0 | 90,806 | 4/29/2024 |
1.9.0 | 46,582 | 4/24/2024 |
1.8.0 | 15,397 | 4/22/2024 |
1.7.1 | 73,337 | 4/5/2024 |
1.7.0 | 37,388 | 4/3/2024 |
1.6.3 | 78,914 | 3/19/2024 |
1.6.2 | 103,551 | 3/14/2024 |
1.6.1 | 81,156 | 3/12/2024 |
1.5.0 | 70,716 | 2/27/2024 |
1.4.0 | 115,309 | 2/14/2024 |
1.3.1 | 20,140 | 2/12/2024 |
1.3.0 | 90,314 | 1/31/2024 |
1.2.0 | 33,799 | 1/24/2024 |
1.1.0 | 109,623 | 1/16/2024 |
1.0.1 | 110,897 | 12/18/2023 |
1.0.0-rc4 | 9,075 | 12/13/2023 |
1.0.0-rc3 | 17,795 | 12/6/2023 |
1.0.0-rc2 | 3,704 | 12/5/2023 |
1.0.0-rc1 | 4,186 | 12/5/2023 |
1.0.0-beta8 | 123,811 | 11/16/2023 |
1.0.0-beta7 | 20,356 | 11/16/2023 |
1.0.0-beta6 | 19,466 | 11/9/2023 |
1.0.0-beta5 | 10,480 | 11/6/2023 |
1.0.0-beta4 | 20,135 | 10/30/2023 |
1.0.0-beta3 | 17,853 | 10/23/2023 |
1.0.0-beta2 | 15,668 | 10/16/2023 |
1.0.0-beta1 | 20,273 | 10/9/2023 |
0.24.230918.1-preview | 96,929 | 9/18/2023 |
0.24.230912.2-preview | 11,718 | 9/12/2023 |
0.24.230911.2-preview | 2,121 | 9/11/2023 |
0.23.230906.2-preview | 11,391 | 9/7/2023 |
0.22.230905.3-preview | 5,246 | 9/5/2023 |
0.21.230828.2-preview | 22,095 | 8/28/2023 |
0.20.230821.4-preview | 12,953 | 8/21/2023 |
0.19.230804.2-preview | 106,076 | 8/5/2023 |
0.18.230725.3-preview | 58,673 | 7/25/2023 |
0.17.230718.1-preview | 69,354 | 7/18/2023 |
0.17.230711.7-preview | 84,707 | 7/11/2023 |
0.17.230704.3-preview | 43,076 | 7/4/2023 |
0.17.230629.1-preview | 8,444 | 6/29/2023 |
0.17.230626.1-preview | 3,702 | 6/26/2023 |
0.16.230615.1-preview | 24,498 | 6/16/2023 |
0.15.231219.1-preview | 4,881 | 12/19/2023 |
0.15.230609.2-preview | 7,820 | 6/9/2023 |
0.15.230531.5-preview | 23,592 | 6/1/2023 |
0.14.547.1-preview | 23,534 | 5/16/2023 |
0.13.442.1-preview | 20,129 | 5/9/2023 |
0.13.277.1-preview | 15,445 | 4/25/2023 |
0.12.207.1-preview | 3,501 | 4/19/2023 |