Microsoft.SemanticKernel.Markdown 1.21.0-alpha

Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Markdown.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Markdown --version 1.21.0-alpha                
NuGet\Install-Package Microsoft.SemanticKernel.Markdown -Version 1.21.0-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.Markdown" Version="1.21.0-alpha" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.SemanticKernel.Markdown --version 1.21.0-alpha                
#r "nuget: Microsoft.SemanticKernel.Markdown, 1.21.0-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.Markdown as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Markdown&version=1.21.0-alpha&prerelease

// Install Microsoft.SemanticKernel.Markdown as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Markdown&version=1.21.0-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

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.31.0-alpha 5 11/27/2024
1.30.0-alpha 107 11/19/2024
1.29.0-alpha 89 11/13/2024
1.28.0-alpha 61 11/7/2024
1.27.0-alpha 49 11/5/2024
1.26.0-alpha 56 10/31/2024
1.25.0-alpha 105 10/23/2024
1.24.1-alpha 85 10/18/2024
1.23.0-alpha 56 10/17/2024
1.22.0-alpha 285 10/8/2024
1.21.1-alpha 148 9/25/2024
1.21.0-alpha 47 9/25/2024
1.20.0-alpha 181 9/17/2024
1.19.0-alpha 101 9/10/2024
1.18.2-alpha 65 9/4/2024
1.18.1-alpha 52 8/27/2024
1.18.0-alpha 85 8/12/2024
1.17.2-alpha 120 8/21/2024
1.17.1-alpha 48 8/7/2024
1.17.0-alpha 61 8/7/2024
1.16.2-alpha 96 7/30/2024
1.16.1-alpha 62 7/23/2024
1.16.0-alpha 57 7/16/2024
1.15.1-alpha 134 7/3/2024
1.15.0-alpha 202 6/19/2024
1.14.1-alpha 127 6/5/2024
1.14.0-alpha 71 6/4/2024
1.13.0-alpha 81 5/20/2024
1.12.0-alpha 78 5/16/2024
1.11.1-alpha 508 5/10/2024
1.11.0-alpha 89 5/8/2024
1.10.0-alpha 92 4/29/2024
1.9.0-alpha 77 4/24/2024
1.8.0-alpha 72 4/22/2024
1.7.1-alpha 2,301 4/5/2024
1.7.0-alpha 80 4/3/2024
1.6.3-alpha 207 3/19/2024
1.6.2-alpha 73 3/14/2024
1.6.1-alpha 67 3/12/2024
1.5.0-alpha 88 2/27/2024
1.4.0-alpha 89 2/14/2024
1.3.1-alpha 80 2/12/2024
1.3.0-alpha 76 1/31/2024
1.2.0-alpha 983 1/24/2024
1.1.0-alpha 148 1/16/2024
1.0.1-alpha 720 12/18/2023
1.0.0-rc4 88 12/13/2023
1.0.0-rc3 97 12/6/2023
1.0.0-rc2 84 12/5/2023
1.0.0-rc1 72 12/5/2023