Microsoft.SemanticKernel.Plugins.Core
1.17.1-alpha
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Plugins.Core --version 1.17.1-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Plugins.Core -Version 1.17.1-alpha
<PackageReference Include="Microsoft.SemanticKernel.Plugins.Core" Version="1.17.1-alpha" />
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.Core" Version="1.17.1-alpha" />
<PackageReference Include="Microsoft.SemanticKernel.Plugins.Core" />
paket add Microsoft.SemanticKernel.Plugins.Core --version 1.17.1-alpha
#r "nuget: Microsoft.SemanticKernel.Plugins.Core, 1.17.1-alpha"
#addin nuget:?package=Microsoft.SemanticKernel.Plugins.Core&version=1.17.1-alpha&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Plugins.Core&version=1.17.1-alpha&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 ⚡
- 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.Bcl.TimeProvider (>= 8.0.1)
- Microsoft.Extensions.Http (>= 8.0.0)
- Microsoft.SemanticKernel.Core (>= 1.17.1)
-
net8.0
- Microsoft.Bcl.TimeProvider (>= 8.0.1)
- Microsoft.Extensions.Http (>= 8.0.0)
- Microsoft.SemanticKernel.Core (>= 1.17.1)
NuGet packages (5)
Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Plugins.Core:
Package | Downloads |
---|---|
EachShow.AI
OpenAI, ChatGPT |
|
GraphRag.Net
GraphRag for .NET –这是一个参考GraphRag的DotNet简易实现。 基于微软在论文中提到的实现思路,执行过程GraphRAG主要实现了如下功能: Source Documents → Text Chunks:将源文档分割成文本块。 Text Chunks → Element Instances:从每个文本块中提取图节点和边的实例。 Element Instances → Element Summaries:为每个图元素生成摘要。 Element Summaries → Graph Communities:使用社区检测算法将图划分为社区。 Graph Communities → Community Summaries:为每个社区生成摘要。 Community Summaries → Community Answers → Global Answer:使用社区摘要生成局部答案,然后汇总这些局部答案以生成全局答案。 商务需求联系微信xuzeyu91 |
|
UmbracoGenie
GenAI plugin for Umbraco backoffice, provides AI-powered content generation, text editing, and image generation. Powered by Microsoft's Semantic Kernel Connectors |
|
Text2Sql.Net
Text2Sql.NET –这是一个使用Semantic Kernel 实现的Text2Sql内核。 支持Sqlite、Postgres、SqlServer、Mysql等数据库。 可以轻量级集成到项目中使用Text2Sql能力 商务需求联系微信xuzeyu91 |
|
WASU.Plugin.AI
Package Description |
GitHub repositories (3)
Showing the top 3 popular GitHub repositories that depend on Microsoft.SemanticKernel.Plugins.Core:
Repository | Stars |
---|---|
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!
|
|
Azure-Samples/cosmosdb-chatgpt
Sample application that combines Azure Cosmos DB with Azure OpenAI ChatGPT service
|
|
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 |
---|---|---|
1.44.0-alpha | 734 | 3/26/2025 |
1.43.0-alpha | 637 | 3/25/2025 |
1.42.0-alpha | 752 | 3/18/2025 |
1.41.0-alpha | 2,633 | 3/11/2025 |
1.40.1-alpha | 3,596 | 3/3/2025 |
1.40.0-alpha | 563 | 2/28/2025 |
1.39.0-alpha | 990 | 2/25/2025 |
1.38.0-alpha | 1,597 | 2/20/2025 |
1.37.0-alpha | 3,158 | 2/12/2025 |
1.36.1-alpha | 1,147 | 2/7/2025 |
1.36.0-alpha | 983 | 2/4/2025 |
1.35.0-alpha | 2,607 | 1/28/2025 |
1.34.0-alpha | 1,065 | 1/22/2025 |
1.33.0-alpha | 16,588 | 1/7/2025 |
1.32.0-alpha | 5,626 | 12/9/2024 |
1.31.0-alpha | 4,798 | 11/27/2024 |
1.30.0-alpha | 14,694 | 11/19/2024 |
1.29.0-alpha | 4,877 | 11/13/2024 |
1.28.0-alpha | 2,167 | 11/7/2024 |
1.27.0-alpha | 748 | 11/5/2024 |
1.26.0-alpha | 3,857 | 10/31/2024 |
1.25.0-alpha | 6,613 | 10/23/2024 |
1.24.1-alpha | 2,248 | 10/18/2024 |
1.23.0-alpha | 454 | 10/17/2024 |
1.22.0-alpha | 5,290 | 10/8/2024 |
1.21.1-alpha | 14,580 | 9/25/2024 |
1.21.0-alpha | 120 | 9/25/2024 |
1.20.0-alpha | 5,663 | 9/17/2024 |
1.19.0-alpha | 6,567 | 9/10/2024 |
1.18.2-alpha | 3,194 | 9/4/2024 |
1.18.1-alpha | 2,352 | 8/27/2024 |
1.18.0-alpha | 4,075 | 8/12/2024 |
1.17.2-alpha | 7,646 | 8/21/2024 |
1.17.1-alpha | 3,917 | 8/7/2024 |
1.17.0-alpha | 98 | 8/7/2024 |
1.16.2-alpha | 2,950 | 7/30/2024 |
1.16.1-alpha | 3,880 | 7/23/2024 |
1.16.0-alpha | 2,223 | 7/16/2024 |
1.15.1-alpha | 10,015 | 7/3/2024 |
1.15.0-alpha | 6,971 | 6/19/2024 |
1.14.1-alpha | 29,444 | 6/5/2024 |
1.14.0-alpha | 619 | 6/4/2024 |
1.13.0-alpha | 11,661 | 5/20/2024 |
1.12.0-alpha | 4,929 | 5/16/2024 |
1.11.1-alpha | 2,110 | 5/10/2024 |
1.11.0-alpha | 727 | 5/8/2024 |
1.10.0-alpha | 8,630 | 4/29/2024 |
1.9.0-alpha | 6,651 | 4/24/2024 |
1.8.0-alpha | 2,620 | 4/22/2024 |
1.7.1-alpha | 12,875 | 4/5/2024 |
1.7.0-alpha | 4,547 | 4/3/2024 |
1.6.3-alpha | 15,545 | 3/19/2024 |
1.6.2-alpha | 2,224 | 3/14/2024 |
1.6.1-alpha | 591 | 3/12/2024 |
1.5.0-alpha | 31,009 | 2/27/2024 |
1.4.0-alpha | 13,445 | 2/14/2024 |
1.3.1-alpha | 12,475 | 2/12/2024 |
1.3.0-alpha | 5,328 | 1/31/2024 |
1.2.0-alpha | 11,049 | 1/24/2024 |
1.1.0-alpha | 5,012 | 1/16/2024 |
1.0.1-alpha | 15,247 | 12/18/2023 |
1.0.0-rc4 | 5,036 | 12/13/2023 |
1.0.0-rc3 | 11,267 | 12/6/2023 |
1.0.0-rc2 | 1,507 | 12/5/2023 |
1.0.0-rc1 | 3,034 | 12/5/2023 |
1.0.0-beta8 | 107,918 | 11/16/2023 |
1.0.0-beta7 | 10,138 | 11/16/2023 |
1.0.0-beta6 | 16,159 | 11/9/2023 |
1.0.0-beta5 | 10,292 | 11/6/2023 |
1.0.0-beta4 | 13,065 | 10/30/2023 |
1.0.0-beta3 | 15,912 | 10/23/2023 |
1.0.0-beta2 | 15,644 | 10/16/2023 |
1.0.0-beta1 | 17,814 | 10/9/2023 |