Microsoft.SemanticKernel.Connectors.Postgres 1.31.0-alpha

Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Connectors.Postgres.
dotnet add package Microsoft.SemanticKernel.Connectors.Postgres --version 1.31.0-alpha                
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Postgres -Version 1.31.0-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.Connectors.Postgres" Version="1.31.0-alpha" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.SemanticKernel.Connectors.Postgres --version 1.31.0-alpha                
#r "nuget: Microsoft.SemanticKernel.Connectors.Postgres, 1.31.0-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.Connectors.Postgres as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Postgres&version=1.31.0-alpha&prerelease

// Install Microsoft.SemanticKernel.Connectors.Postgres as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Postgres&version=1.31.0-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 (2)

Showing the top 2 NuGet packages that depend on Microsoft.SemanticKernel.Connectors.Postgres:

Package Downloads
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

AIToolbox.SemanticKernel.Connectors.Memory.Postgres

AI Toolbox connector for Postgres.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.SemanticKernel.Connectors.Postgres:

Repository Stars
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
1.31.0-alpha 51 11/27/2024
1.30.0-alpha 995 11/19/2024
1.29.0-alpha 124 11/13/2024
1.28.0-alpha 157 11/7/2024
1.27.0-alpha 63 11/5/2024
1.26.0-alpha 3,127 10/31/2024
1.25.0-alpha 205 10/23/2024
1.24.1-alpha 1,031 10/18/2024
1.23.0-alpha 984 10/17/2024
1.22.0-alpha 317 10/8/2024
1.21.1-alpha 8,008 9/25/2024
1.21.0-alpha 46 9/25/2024
1.20.0-alpha 1,886 9/17/2024
1.19.0-alpha 503 9/10/2024
1.18.2-alpha 974 9/4/2024
1.18.1-alpha 105 8/27/2024
1.18.0-alpha 2,040 8/12/2024
1.17.2-alpha 712 8/21/2024
1.17.1-alpha 1,120 8/7/2024
1.17.0-alpha 52 8/7/2024
1.16.2-alpha 2,305 7/30/2024
1.16.1-alpha 165 7/23/2024
1.16.0-alpha 215 7/16/2024
1.15.1-alpha 1,288 7/3/2024
1.15.0-alpha 15,206 6/19/2024
1.14.1-alpha 669 6/5/2024
1.14.0-alpha 552 6/4/2024
1.13.0-alpha 13,231 5/20/2024
1.12.0-alpha 86 5/16/2024
1.11.1-alpha 996 5/10/2024
1.11.0-alpha 533 5/8/2024
1.10.0-alpha 238 4/29/2024
1.9.0-alpha 1,439 4/24/2024
1.8.0-alpha 117 4/22/2024
1.7.1-alpha 2,088 4/5/2024
1.7.0-alpha 90 4/3/2024
1.6.3-alpha 679 3/19/2024
1.6.2-alpha 151 3/14/2024
1.6.1-alpha 90 3/12/2024
1.5.0-alpha 453 2/27/2024
1.4.0-alpha 29,394 2/14/2024
1.3.1-alpha 107 2/12/2024
1.3.0-alpha 1,598 1/31/2024
1.2.0-alpha 485 1/24/2024
1.1.0-alpha 1,019 1/16/2024
1.0.1-alpha 1,681 12/18/2023
1.0.0-rc4 176 12/13/2023