Microsoft.SemanticKernel.Connectors.Sqlite 1.0.1-alpha

Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Connectors.Sqlite.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Sqlite --version 1.0.1-alpha
                    
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Sqlite -Version 1.0.1-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.Sqlite" Version="1.0.1-alpha" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.SemanticKernel.Connectors.Sqlite" Version="1.0.1-alpha" />
                    
Directory.Packages.props
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Sqlite" />
                    
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.Sqlite --version 1.0.1-alpha
                    
#r "nuget: Microsoft.SemanticKernel.Connectors.Sqlite, 1.0.1-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.Sqlite&version=1.0.1-alpha&prerelease
                    
Install Microsoft.SemanticKernel.Connectors.Sqlite as a Cake Addin
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Sqlite&version=1.0.1-alpha&prerelease
                    
Install Microsoft.SemanticKernel.Connectors.Sqlite 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 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.

NuGet packages (6)

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

Package Downloads
LangChain.Databases.Sqlite

SQLite for LangChain.

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

WASU.Plugin.AI

Package Description

FaceMan.SemanticHub

.Net 基于SK接入AzureOpenAI、OpenAI、通义千问、讯飞星火、文心一言、智谱AI的SDK。

Text2Sql.Net

Text2Sql.NET –这是一个使用Semantic Kernel 实现的Text2Sql内核。 支持Sqlite、Postgres、SqlServer、Mysql等数据库。 可以轻量级集成到项目中使用Text2Sql能力 商务需求联系微信xuzeyu91

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.Sqlite:

Repository Stars
AIDotNet/koala-ai
基于.NET8+React实现的企业级智能客服知识库
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
1.51.0-preview 1,111 5/16/2025 1.51.0-preview is deprecated.
1.50.0-preview 325 5/14/2025
1.49.0-preview 528 5/8/2025
1.48.0-preview 578 4/29/2025
1.47.0-preview 1,315 4/17/2025
1.46.0-preview 11,974 4/11/2025
1.45.0-preview 2,010 4/3/2025
1.44.0-preview 1,748 3/26/2025
1.43.0-preview 736 3/25/2025
1.42.0-preview 251 3/18/2025
1.41.0-preview 439 3/11/2025
1.40.1-preview 3,472 3/3/2025
1.40.0-preview 230 2/28/2025
1.39.0-preview 139 2/25/2025
1.38.0-preview 250 2/20/2025
1.37.0-preview 427 2/12/2025
1.36.1-preview 537 2/7/2025
1.36.0-preview 127 2/4/2025
1.35.0-preview 263 1/28/2025
1.34.0-preview 594 1/22/2025
1.33.0-preview 16,421 1/7/2025
1.32.0-preview 7,128 12/9/2024
1.31.0-preview 2,518 11/27/2024
1.30.0-preview 15,275 11/19/2024
1.29.0-preview 634 11/13/2024
1.28.0-preview 297 11/7/2024
1.27.0-preview 124 11/5/2024
1.26.0-preview 3,328 10/31/2024
1.25.0-preview 620 10/23/2024
1.24.1-preview 1,421 10/18/2024
1.23.0-alpha 1,083 10/17/2024
1.22.0-alpha 995 10/8/2024
1.21.1-alpha 21,532 9/25/2024
1.21.0-alpha 78 9/25/2024
1.20.0-alpha 2,655 9/17/2024
1.19.0-alpha 989 9/10/2024
1.18.2-alpha 3,391 9/4/2024
1.18.1-alpha 106 8/27/2024
1.18.0-alpha 1,936 8/12/2024
1.17.2-alpha 358 8/21/2024
1.17.1-alpha 2,129 8/7/2024
1.17.0-alpha 67 8/7/2024
1.16.2-alpha 2,408 7/30/2024
1.16.1-alpha 308 7/23/2024
1.16.0-alpha 298 7/16/2024
1.15.1-alpha 6,416 7/3/2024
1.15.0-alpha 15,835 6/19/2024
1.14.1-alpha 1,327 6/5/2024
1.14.0-alpha 115 6/4/2024
1.13.0-alpha 7,775 5/20/2024
1.12.0-alpha 129 5/16/2024
1.11.1-alpha 225 5/10/2024
1.11.0-alpha 112 5/8/2024
1.10.0-alpha 4,365 4/29/2024
1.9.0-alpha 355 4/24/2024
1.8.0-alpha 110 4/22/2024
1.7.1-alpha 972 4/5/2024
1.7.0-alpha 115 4/3/2024
1.6.3-alpha 2,096 3/19/2024
1.6.2-alpha 935 3/14/2024
1.6.1-alpha 105 3/12/2024
1.5.0-alpha 1,984 2/27/2024
1.4.0-alpha 34,926 2/14/2024
1.3.1-alpha 112 2/12/2024
1.3.0-alpha 1,013 1/31/2024
1.2.0-alpha 250 1/24/2024
1.1.0-alpha 2,099 1/16/2024
1.0.1-alpha 1,241 12/18/2023
1.0.0-rc4 224 12/13/2023