Microsoft.SemanticKernel.Connectors.Qdrant
                               
                            
                                1.46.0-preview
                            
                        
                            
                                
                                
                                    Prefix Reserved
                                
                            
                    See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Qdrant --version 1.46.0-preview
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Qdrant -Version 1.46.0-preview
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.46.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.46.0-preview" />
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Qdrant" />
paket add Microsoft.SemanticKernel.Connectors.Qdrant --version 1.46.0-preview
#r "nuget: Microsoft.SemanticKernel.Connectors.Qdrant, 1.46.0-preview"
#:package Microsoft.SemanticKernel.Connectors.Qdrant@1.46.0-preview
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.46.0-preview&prerelease
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Qdrant&version=1.46.0-preview&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. 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. | 
- 
                                                    .NETStandard 2.0- Microsoft.SemanticKernel.Core (>= 1.46.0)
- Qdrant.Client (>= 1.12.0)
- System.Text.Json (>= 8.0.5)
 
- 
                                                    net8.0- Microsoft.SemanticKernel.Core (>= 1.46.0)
- Qdrant.Client (>= 1.12.0)
- System.Text.Json (>= 8.0.5)
 
NuGet packages (10)
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 (5)
Showing the top 5 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.Qdrant:
| Repository | Stars | 
|---|---|
| dotnet/extensions 
                                                            This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
                                                         | |
| microsoft/Generative-AI-for-beginners-dotnet 
                                                            Five lessons, learn how to really apply AI to your .NET Applications
                                                         | |
| drasi-project/drasi-platform 
                                                            The Data Change Processing platform
                                                         | |
| foxminchan/BookWorm 
                                                            The practical implementation of Aspire using Microservices, AI-Agents
                                                         | |
| microsoft/project-oagents 
                                                            Experimental AI Agents Framework
                                                         | 
| Version | Downloads | Last Updated | 
|---|---|---|
| 1.66.0-preview | 2,518 | 10/8/2025 | 
| 1.65.0-preview | 6,257 | 9/10/2025 | 
| 1.64.0-preview | 17,183 | 8/27/2025 | 
| 1.63.0-preview | 2,810 | 8/20/2025 | 
| 1.62.0-preview | 1,513 | 8/12/2025 | 
| 1.61.0-preview | 5,500 | 7/24/2025 | 
| 1.60.0-preview | 3,954 | 7/8/2025 | 
| 1.59.0-preview | 2,143 | 7/1/2025 | 
| 1.58.0-preview | 1,781 | 6/25/2025 | 
| 1.57.0-preview | 1,843 | 6/16/2025 | 
| 1.56.0-preview | 2,510 | 6/10/2025 | 
| 1.55.0-preview | 2,627 | 6/3/2025 | 
| 1.54.0-preview | 8,278 | 5/22/2025 | 
| 1.53.1-preview | 276 | 5/21/2025 | 
| 1.52.0-preview | 291 | 5/19/2025 | 
| 1.51.0-preview | 1,142 | 5/16/2025 | 
| 1.50.0-preview | 850 | 5/14/2025 | 
| 1.49.0-preview | 1,359 | 5/8/2025 | 
| 1.48.0-preview | 1,862 | 4/29/2025 | 
| 1.47.0-preview | 2,210 | 4/17/2025 | 
| 1.46.0-preview | 1,130 | 4/11/2025 | 
| 1.45.0-preview | 16,033 | 4/3/2025 | 
| 1.44.0-preview | 4,247 | 3/26/2025 | 
| 1.43.0-preview | 749 | 3/25/2025 | 
| 1.42.0-preview | 1,205 | 3/18/2025 | 
| 1.41.0-preview | 3,675 | 3/11/2025 | 
| 1.40.1-preview | 1,499 | 3/3/2025 | 
| 1.40.0-preview | 384 | 2/28/2025 | 
| 1.39.0-preview | 932 | 2/25/2025 | 
| 1.38.0-preview | 14,828 | 2/20/2025 | 
| 1.37.0-preview | 1,510 | 2/12/2025 | 
| 1.36.1-preview | 1,128 | 2/7/2025 | 
| 1.36.0-preview | 541 | 2/4/2025 | 
| 1.35.0-preview | 1,828 | 1/28/2025 | 
| 1.34.0-preview | 861 | 1/22/2025 | 
| 1.33.0-preview | 10,899 | 1/7/2025 | 
| 1.32.0-preview | 7,557 | 12/9/2024 | 
| 1.31.0-preview | 2,701 | 11/27/2024 | 
| 1.30.0-preview | 8,587 | 11/19/2024 | 
| 1.29.0-preview | 2,315 | 11/13/2024 | 
| 1.28.0-preview | 9,540 | 11/7/2024 | 
| 1.27.0-preview | 213 | 11/5/2024 | 
| 1.26.0-preview | 428 | 10/31/2024 | 
| 1.25.0-preview | 3,297 | 10/23/2024 | 
| 1.24.1-preview | 1,804 | 10/18/2024 | 
| 1.23.0-preview | 304 | 10/17/2024 | 
| 1.22.0-alpha | 22,128 | 10/8/2024 | 
| 1.21.1-alpha | 1,031 | 9/25/2024 | 
| 1.21.0-alpha | 126 | 9/25/2024 | 
| 1.20.0-alpha | 867 | 9/17/2024 | 
| 1.19.0-alpha | 438 | 9/10/2024 | 
| 1.18.2-alpha | 855 | 9/4/2024 | 
| 1.18.1-alpha | 2,004 | 8/27/2024 | 
| 1.18.0-alpha | 454 | 8/12/2024 | 
| 1.17.2-alpha | 1,425 | 8/21/2024 | 
| 1.17.1-alpha | 618 | 8/7/2024 | 
| 1.17.0-alpha | 104 | 8/7/2024 | 
| 1.16.2-alpha | 973 | 7/30/2024 | 
| 1.16.1-alpha | 900 | 7/23/2024 | 
| 1.16.0-alpha | 3,150 | 7/16/2024 | 
| 1.15.1-alpha | 5,234 | 7/3/2024 | 
| 1.15.0-alpha | 656 | 6/19/2024 | 
| 1.14.1-alpha | 11,810 | 6/5/2024 | 
| 1.14.0-alpha | 148 | 6/4/2024 | 
| 1.13.0-alpha | 738 | 5/20/2024 | 
| 1.12.0-alpha | 193 | 5/16/2024 | 
| 1.11.1-alpha | 518 | 5/10/2024 | 
| 1.11.0-alpha | 284 | 5/8/2024 | 
| 1.10.0-alpha | 7,566 | 4/29/2024 | 
| 1.9.0-alpha | 599 | 4/24/2024 | 
| 1.8.0-alpha | 888 | 4/22/2024 | 
| 1.7.1-alpha | 3,592 | 4/5/2024 | 
| 1.7.0-alpha | 208 | 4/3/2024 | 
| 1.6.3-alpha | 91,820 | 3/19/2024 | 
| 1.6.2-alpha | 727 | 3/14/2024 | 
| 1.6.1-alpha | 992 | 3/12/2024 | 
| 1.5.0-alpha | 28,843 | 2/27/2024 | 
| 1.4.0-alpha | 3,415 | 2/14/2024 | 
| 1.3.1-alpha | 307 | 2/12/2024 | 
| 1.3.0-alpha | 1,690 | 1/31/2024 | 
| 1.2.0-alpha | 3,242 | 1/24/2024 | 
| 1.1.0-alpha | 1,256 | 1/16/2024 | 
| 1.0.1-alpha | 24,517 | 12/18/2023 | 
| 1.0.0-rc4 | 671 | 12/13/2023 |