Microsoft.SemanticKernel.Plugins.Core 1.16.0-alpha

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.
This is a prerelease version of Microsoft.SemanticKernel.Plugins.Core.
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package Microsoft.SemanticKernel.Plugins.Core --version 1.16.0-alpha                

                    
                

            
NuGet\Install-Package Microsoft.SemanticKernel.Plugins.Core -Version 1.16.0-alpha
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.Plugins.Core" Version="1.16.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.SemanticKernel.Plugins.Core --version 1.16.0-alpha                

                    
                

            
#r "nuget: Microsoft.SemanticKernel.Plugins.Core, 1.16.0-alpha"
#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.Plugins.Core as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Plugins.Core&version=1.16.0-alpha&prerelease

// Install Microsoft.SemanticKernel.Plugins.Core as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Plugins.Core&version=1.16.0-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 ⚡

Product 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.

NuGet packages (2)

Showing the top 2 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

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
1.32.0-alpha 1,396 12/9/2024
1.31.0-alpha 2,140 11/27/2024
1.30.0-alpha 4,583 11/19/2024
1.29.0-alpha 2,279 11/13/2024
1.28.0-alpha 1,212 11/7/2024
1.27.0-alpha 614 11/5/2024
1.26.0-alpha 3,152 10/31/2024
1.25.0-alpha 3,204 10/23/2024
1.24.1-alpha 1,477 10/18/2024
1.23.0-alpha 314 10/17/2024
1.22.0-alpha 3,703 10/8/2024
1.21.1-alpha 10,877 9/25/2024
1.21.0-alpha 107 9/25/2024
1.20.0-alpha 5,125 9/17/2024
1.19.0-alpha 3,594 9/10/2024
1.18.2-alpha 2,830 9/4/2024
1.18.1-alpha 2,083 8/27/2024
1.18.0-alpha 3,525 8/12/2024
1.17.2-alpha 4,961 8/21/2024
1.17.1-alpha 2,594 8/7/2024
1.17.0-alpha 89 8/7/2024
1.16.2-alpha 2,421 7/30/2024
1.16.1-alpha 2,816 7/23/2024
1.16.0-alpha 2,086 7/16/2024
1.15.1-alpha 8,461 7/3/2024
1.15.0-alpha 6,143 6/19/2024
1.14.1-alpha 26,230 6/5/2024
1.14.0-alpha 491 6/4/2024
1.13.0-alpha 10,932 5/20/2024
1.12.0-alpha 4,584 5/16/2024
1.11.1-alpha 1,724 5/10/2024
1.11.0-alpha 705 5/8/2024
1.10.0-alpha 7,876 4/29/2024
1.9.0-alpha 4,656 4/24/2024
1.8.0-alpha 2,135 4/22/2024
1.7.1-alpha 12,094 4/5/2024
1.7.0-alpha 4,328 4/3/2024
1.6.3-alpha 13,236 3/19/2024
1.6.2-alpha 2,101 3/14/2024
1.6.1-alpha 570 3/12/2024
1.5.0-alpha 29,152 2/27/2024
1.4.0-alpha 12,641 2/14/2024
1.3.1-alpha 9,736 2/12/2024
1.3.0-alpha 5,057 1/31/2024
1.2.0-alpha 10,034 1/24/2024
1.1.0-alpha 4,582 1/16/2024
1.0.1-alpha 14,970 12/18/2023
1.0.0-rc4 4,961 12/13/2023
1.0.0-rc3 11,036 12/6/2023
1.0.0-rc2 1,494 12/5/2023
1.0.0-rc1 2,999 12/5/2023
1.0.0-beta8 102,445 11/16/2023
1.0.0-beta7 7,809 11/16/2023
1.0.0-beta6 15,759 11/9/2023
1.0.0-beta5 9,356 11/6/2023
1.0.0-beta4 12,786 10/30/2023
1.0.0-beta3 15,324 10/23/2023
1.0.0-beta2 13,937 10/16/2023
1.0.0-beta1 17,677 10/9/2023