Microsoft.SemanticKernel.Connectors.Postgres
1.5.0-alpha
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Postgres --version 1.5.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Postgres -Version 1.5.0-alpha
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Postgres" Version="1.5.0-alpha" />
paket add Microsoft.SemanticKernel.Connectors.Postgres --version 1.5.0-alpha
#r "nuget: Microsoft.SemanticKernel.Connectors.Postgres, 1.5.0-alpha"
// Install Microsoft.SemanticKernel.Connectors.Postgres as a Cake Addin #addin nuget:?package=Microsoft.SemanticKernel.Connectors.Postgres&version=1.5.0-alpha&prerelease // Install Microsoft.SemanticKernel.Connectors.Postgres as a Cake Tool #tool nuget:?package=Microsoft.SemanticKernel.Connectors.Postgres&version=1.5.0-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 ⚡
- 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. |
| .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.Bcl.AsyncInterfaces (>= 8.0.0)
- Microsoft.SemanticKernel.Core (>= 1.5.0)
- Pgvector (>= 0.2.0)
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 |
|---|---|---|
| 1.29.0-alpha | 0 | 11/13/2024 |
| 1.28.0-alpha | 88 | 11/7/2024 |
| 1.27.0-alpha | 55 | 11/5/2024 |
| 1.26.0-alpha | 1,077 | 10/31/2024 |
| 1.25.0-alpha | 175 | 10/23/2024 |
| 1.24.1-alpha | 1,027 | 10/18/2024 |
| 1.23.0-alpha | 980 | 10/17/2024 |
| 1.22.0-alpha | 293 | 10/8/2024 |
| 1.21.1-alpha | 5,574 | 9/25/2024 |
| 1.21.0-alpha | 43 | 9/25/2024 |
| 1.20.0-alpha | 1,882 | 9/17/2024 |
| 1.19.0-alpha | 499 | 9/10/2024 |
| 1.18.2-alpha | 969 | 9/4/2024 |
| 1.18.1-alpha | 100 | 8/27/2024 |
| 1.18.0-alpha | 1,985 | 8/12/2024 |
| 1.17.2-alpha | 611 | 8/21/2024 |
| 1.17.1-alpha | 1,084 | 8/7/2024 |
| 1.17.0-alpha | 48 | 8/7/2024 |
| 1.16.2-alpha | 2,299 | 7/30/2024 |
| 1.16.1-alpha | 161 | 7/23/2024 |
| 1.16.0-alpha | 205 | 7/16/2024 |
| 1.15.1-alpha | 1,264 | 7/3/2024 |
| 1.15.0-alpha | 13,672 | 6/19/2024 |
| 1.14.1-alpha | 641 | 6/5/2024 |
| 1.14.0-alpha | 468 | 6/4/2024 |
| 1.13.0-alpha | 12,873 | 5/20/2024 |
| 1.12.0-alpha | 83 | 5/16/2024 |
| 1.11.1-alpha | 923 | 5/10/2024 |
| 1.11.0-alpha | 529 | 5/8/2024 |
| 1.10.0-alpha | 235 | 4/29/2024 |
| 1.9.0-alpha | 1,246 | 4/24/2024 |
| 1.8.0-alpha | 114 | 4/22/2024 |
| 1.7.1-alpha | 1,914 | 4/5/2024 |
| 1.7.0-alpha | 84 | 4/3/2024 |
| 1.6.3-alpha | 669 | 3/19/2024 |
| 1.6.2-alpha | 148 | 3/14/2024 |
| 1.6.1-alpha | 86 | 3/12/2024 |
| 1.5.0-alpha | 450 | 2/27/2024 |
| 1.4.0-alpha | 27,626 | 2/14/2024 |
| 1.3.1-alpha | 104 | 2/12/2024 |
| 1.3.0-alpha | 1,583 | 1/31/2024 |
| 1.2.0-alpha | 455 | 1/24/2024 |
| 1.1.0-alpha | 1,000 | 1/16/2024 |
| 1.0.1-alpha | 1,669 | 12/18/2023 |
| 1.0.0-rc4 | 172 | 12/13/2023 |