Microsoft.SemanticKernel.Connectors.Qdrant 1.44.0-preview

Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Connectors.Qdrant.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Qdrant --version 1.44.0-preview
                    
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Qdrant -Version 1.44.0-preview
                    
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.Connectors.Qdrant" Version="1.44.0-preview" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.44.0-preview" />
                    
Directory.Packages.props
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Qdrant" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Microsoft.SemanticKernel.Connectors.Qdrant --version 1.44.0-preview
                    
#r "nuget: Microsoft.SemanticKernel.Connectors.Qdrant, 1.44.0-preview"
                    
#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.
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.44.0-preview&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.44.0-preview&prerelease
                    
Install as a Cake Tool

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.  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.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-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 (9)

Showing the top 5 NuGet packages that depend on Microsoft.SemanticKernel.Connectors.Qdrant:

Package Downloads
EachShow.AI

OpenAI, ChatGPT, Ollama, Vllm

LangChain.Databases.Qdrant

Qdrant for LangChain.

Senparc.AI.Kernel

Senparc.AI 核心模块,支持 Semantic Kernel,提供一系列 Senparc.AI 产品基础接口实现

Encamina.Enmarcha.SemanticKernel.Connectors.Memory

Package Description

Ben.SemanticKernel

A simple Semantic Kernel library for .NET applications

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.Qdrant:

Repository Stars
microsoft/Generative-AI-for-beginners-dotnet
Five lessons, learn how to really apply AI to your .NET Applications
foxminchan/BookWorm
The practical implementation of .NET Aspire using Microservices
microsoft/project-oagents
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1.41.0-preview 1,947 3/11/2025
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1.34.0-preview 779 1/22/2025
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1.21.1-alpha 1,001 9/25/2024
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1.17.2-alpha 1,381 8/21/2024
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1.14.1-alpha 11,599 6/5/2024
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1.13.0-alpha 605 5/20/2024
1.12.0-alpha 159 5/16/2024
1.11.1-alpha 404 5/10/2024
1.11.0-alpha 246 5/8/2024
1.10.0-alpha 6,858 4/29/2024
1.9.0-alpha 548 4/24/2024
1.8.0-alpha 830 4/22/2024
1.7.1-alpha 3,325 4/5/2024
1.7.0-alpha 190 4/3/2024
1.6.3-alpha 66,924 3/19/2024
1.6.2-alpha 640 3/14/2024
1.6.1-alpha 734 3/12/2024
1.5.0-alpha 25,974 2/27/2024
1.4.0-alpha 3,064 2/14/2024
1.3.1-alpha 278 2/12/2024
1.3.0-alpha 1,457 1/31/2024
1.2.0-alpha 3,110 1/24/2024
1.1.0-alpha 1,042 1/16/2024
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