Microsoft.SemanticKernel.Connectors.Qdrant
1.6.1-alpha
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.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Qdrant --version 1.6.1-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Qdrant -Version 1.6.1-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.Connectors.Qdrant" Version="1.6.1-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.6.1-alpha" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Qdrant" />
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 1.6.1-alpha
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.SemanticKernel.Connectors.Qdrant, 1.6.1-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.
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.6.1-alpha&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.6.1-alpha&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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 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. 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.
-
.NETStandard 2.0
- Microsoft.SemanticKernel.Core (>= 1.6.1)
- System.Text.Json (>= 8.0.2)
NuGet packages (8)
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
Experimental AI Agents Framework
|
| Version | Downloads | Last updated |
|---|---|---|
| 1.55.0-preview | 515 | 6/3/2025 |
| 1.54.0-preview | 1,860 | 5/22/2025 |
| 1.53.1-preview | 219 | 5/21/2025 |
| 1.52.0-preview | 160 | 5/19/2025 |
| 1.51.0-preview | 960 | 5/16/2025 |
| 1.50.0-preview | 550 | 5/14/2025 |
| 1.49.0-preview | 840 | 5/8/2025 |
| 1.48.0-preview | 793 | 4/29/2025 |
| 1.47.0-preview | 1,968 | 4/17/2025 |
| 1.46.0-preview | 743 | 4/11/2025 |
| 1.45.0-preview | 6,859 | 4/3/2025 |
| 1.44.0-preview | 3,607 | 3/26/2025 |
| 1.43.0-preview | 685 | 3/25/2025 |
| 1.42.0-preview | 648 | 3/18/2025 |
| 1.41.0-preview | 1,724 | 3/11/2025 |
| 1.40.1-preview | 1,418 | 3/3/2025 |
| 1.40.0-preview | 325 | 2/28/2025 |
| 1.39.0-preview | 775 | 2/25/2025 |
| 1.38.0-preview | 6,806 | 2/20/2025 |
| 1.37.0-preview | 1,247 | 2/12/2025 |
| 1.36.1-preview | 787 | 2/7/2025 |
| 1.36.0-preview | 483 | 2/4/2025 |
| 1.35.0-preview | 1,266 | 1/28/2025 |
| 1.34.0-preview | 769 | 1/22/2025 |
| 1.33.0-preview | 5,527 | 1/7/2025 |
| 1.32.0-preview | 6,308 | 12/9/2024 |
| 1.31.0-preview | 2,177 | 11/27/2024 |
| 1.30.0-preview | 6,667 | 11/19/2024 |
| 1.29.0-preview | 1,980 | 11/13/2024 |
| 1.28.0-preview | 5,763 | 11/7/2024 |
| 1.27.0-preview | 161 | 11/5/2024 |
| 1.26.0-preview | 359 | 10/31/2024 |
| 1.25.0-preview | 2,145 | 10/23/2024 |
| 1.24.1-preview | 1,198 | 10/18/2024 |
| 1.23.0-preview | 253 | 10/17/2024 |
| 1.22.0-alpha | 21,813 | 10/8/2024 |
| 1.21.1-alpha | 995 | 9/25/2024 |
| 1.21.0-alpha | 76 | 9/25/2024 |
| 1.20.0-alpha | 774 | 9/17/2024 |
| 1.19.0-alpha | 379 | 9/10/2024 |
| 1.18.2-alpha | 784 | 9/4/2024 |
| 1.18.1-alpha | 1,949 | 8/27/2024 |
| 1.18.0-alpha | 427 | 8/12/2024 |
| 1.17.2-alpha | 1,376 | 8/21/2024 |
| 1.17.1-alpha | 528 | 8/7/2024 |
| 1.17.0-alpha | 65 | 8/7/2024 |
| 1.16.2-alpha | 784 | 7/30/2024 |
| 1.16.1-alpha | 831 | 7/23/2024 |
| 1.16.0-alpha | 2,871 | 7/16/2024 |
| 1.15.1-alpha | 5,149 | 7/3/2024 |
| 1.15.0-alpha | 600 | 6/19/2024 |
| 1.14.1-alpha | 11,573 | 6/5/2024 |
| 1.14.0-alpha | 105 | 6/4/2024 |
| 1.13.0-alpha | 591 | 5/20/2024 |
| 1.12.0-alpha | 149 | 5/16/2024 |
| 1.11.1-alpha | 387 | 5/10/2024 |
| 1.11.0-alpha | 240 | 5/8/2024 |
| 1.10.0-alpha | 6,772 | 4/29/2024 |
| 1.9.0-alpha | 530 | 4/24/2024 |
| 1.8.0-alpha | 818 | 4/22/2024 |
| 1.7.1-alpha | 3,309 | 4/5/2024 |
| 1.7.0-alpha | 186 | 4/3/2024 |
| 1.6.3-alpha | 53,930 | 3/19/2024 |
| 1.6.2-alpha | 633 | 3/14/2024 |
| 1.6.1-alpha | 708 | 3/12/2024 |
| 1.5.0-alpha | 25,713 | 2/27/2024 |
| 1.4.0-alpha | 2,999 | 2/14/2024 |
| 1.3.1-alpha | 271 | 2/12/2024 |
| 1.3.0-alpha | 1,427 | 1/31/2024 |
| 1.2.0-alpha | 3,102 | 1/24/2024 |
| 1.1.0-alpha | 1,028 | 1/16/2024 |
| 1.0.1-alpha | 21,798 | 12/18/2023 |
| 1.0.0-rc4 | 613 | 12/13/2023 |