LangChain.Databases.AzureCognitiveSearch 0.12.3-dev.81

This is a prerelease version of LangChain.Databases.AzureCognitiveSearch.
There is a newer version of this package available.
See the version list below for details.
dotnet add package LangChain.Databases.AzureCognitiveSearch --version 0.12.3-dev.81
                    
NuGet\Install-Package LangChain.Databases.AzureCognitiveSearch -Version 0.12.3-dev.81
                    
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="LangChain.Databases.AzureCognitiveSearch" Version="0.12.3-dev.81" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="LangChain.Databases.AzureCognitiveSearch" Version="0.12.3-dev.81" />
                    
Directory.Packages.props
<PackageReference Include="LangChain.Databases.AzureCognitiveSearch" />
                    
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 LangChain.Databases.AzureCognitiveSearch --version 0.12.3-dev.81
                    
#r "nuget: LangChain.Databases.AzureCognitiveSearch, 0.12.3-dev.81"
                    
#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=LangChain.Databases.AzureCognitiveSearch&version=0.12.3-dev.81&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=LangChain.Databases.AzureCognitiveSearch&version=0.12.3-dev.81&prerelease
                    
Install as a Cake Tool

šŸ¦œļøšŸ”— LangChain

Nuget package dotnet License: MIT Discord

All Contributors

⚔ Building applications with LLMs through composability ⚔
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

While the SemanticKernel is good and we will use it wherever possible, we believe that it has many limitations and based on Microsoft technologies. We proceed from the position of the maximum choice of available options and are open to using third-party libraries within individual implementations.
ā¤ļø Our project includes https://github.com/jeastham1993/langchain-dotnet and tries to be updated with the latest changes there ā¤ļø

I want to note:

  • I’m unlikely to be able to make serious progress alone, so my goal is to unite the efforts of C# developers to create a C# version of LangChain and control the quality of the final project
  • I try to accept any Pull Request within 24 hours (of course, it depends, but I will try)
  • I'm also looking for developers to join the core team. I will sponsor them whenever possible and also share any money received.
  • I also respond quite quickly on Discord for any questions related to the project

Usage

You can use our wiki to get started: https://github.com/tryAGI/LangChain/wiki
Also see examples for example usage.

var gpt4 = new Gpt4Model("OPENAI_API_KEY");
var index = await InMemoryVectorStore.CreateIndexFromDocuments(gpt4, new[]
{
    "I spent entire day watching TV",
    "My dog name is Bob",
    "This ice cream is delicious",
    "It is cold in space"
}.ToDocuments());

var chainQuestion =
    Set("What is the good name for a pet?", outputKey: "question") |
    RetrieveDocuments(index, inputKey: "question", outputKey: "documents") |
    StuffDocuments(inputKey: "documents", outputKey: "context") |
    Template("""
        Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.

        {context}

        Question: {question}
        Helpful Answer:
        """, outputKey: "prompt") |
    LLM(gpt4, inputKey: "prompt", outputKey: "pet_sentence");

var chainFilter =
    // do not move the entire dictionary from the other chain
    chainQuestion.AsIsolated(outputKey: "pet_sentence") |
    Template("""
        Human will provide you with sentence about pet. You need to answer with pet name.

        Human: My dog name is Jack
        Answer: Jack
        Human: I think the best name for a pet is "Jerry"
        Answer: Jerry
        Human: {pet_sentence}
        Answer:
        """, outputKey: "prompt") |
    LLM(gpt4, inputKey: "prompt", outputKey: "text");

var result = await chainFilter.Run(resultKey: "text");
// Bob

Contributors

<table> <tbody> <tr> <td align="center" valign="top" width="14.28%"><a href="https://www.upwork.com/freelancers/~017b1ad6f6af9cc189"><img src="https://avatars.githubusercontent.com/u/3002068?v=4?s=100" width="100px;" alt="Konstantin S."/><br /><sub><b>Konstantin S.</b></sub></a><br /><a href="#infra-HavenDV" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a> <a href="https://github.com/tryAGI/LangChain/commits?author=HavenDV" title="Tests">āš ļø</a> <a href="https://github.com/tryAGI/LangChain/commits?author=HavenDV" title="Code">šŸ’»</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/TesAnti"><img src="https://avatars.githubusercontent.com/u/8780022?v=4?s=100" width="100px;" alt="TesAnti"/><br /><sub><b>TesAnti</b></sub></a><br /><a href="#infra-TesAnti" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a> <a href="https://github.com/tryAGI/LangChain/commits?author=TesAnti" title="Tests">āš ļø</a> <a href="https://github.com/tryAGI/LangChain/commits?author=TesAnti" title="Code">šŸ’»</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/khoroshevj"><img src="https://avatars.githubusercontent.com/u/13628506?v=4?s=100" width="100px;" alt="Khoroshev Evgeniy"/><br /><sub><b>Khoroshev Evgeniy</b></sub></a><br /><a href="#infra-khoroshevj" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a> <a href="https://github.com/tryAGI/LangChain/commits?author=khoroshevj" title="Tests">āš ļø</a> <a href="https://github.com/tryAGI/LangChain/commits?author=khoroshevj" title="Code">šŸ’»</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/SiegDuch"><img src="https://avatars.githubusercontent.com/u/104992451?v=4?s=100" width="100px;" alt="SiegDuch"/><br /><sub><b>SiegDuch</b></sub></a><br /><a href="#infra-SiegDuch" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/gunpal5"><img src="https://avatars.githubusercontent.com/u/10114874?v=4?s=100" width="100px;" alt="gunpal5"/><br /><sub><b>gunpal5</b></sub></a><br /><a href="#infra-gunpal5" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a> <a href="https://github.com/tryAGI/LangChain/commits?author=gunpal5" title="Tests">āš ļø</a> <a href="https://github.com/tryAGI/LangChain/commits?author=gunpal5" title="Code">šŸ’»</a></td> <td align="center" valign="top" width="14.28%"><a href="https://github.com/kharedev247"><img src="https://avatars.githubusercontent.com/u/72281217?v=4?s=100" width="100px;" alt="Ketan Khare"/><br /><sub><b>Ketan Khare</b></sub></a><br /><a href="#infra-kharedev247" title="Infrastructure (Hosting, Build-Tools, etc)">šŸš‡</a> <a href="https://github.com/tryAGI/LangChain/commits?author=kharedev247" title="Tests">āš ļø</a> <a href="https://github.com/tryAGI/LangChain/commits?author=kharedev247" title="Code">šŸ’»</a></td> </tr> </tbody> </table>

Support

Priority place for bugs: https://github.com/tryAGI/LangChain/issues
Priority place for ideas and general questions: https://github.com/tryAGI/LangChain/discussions
Discord: https://discord.gg/Ca2xhfBf3v

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  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 is compatible.  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 is compatible.  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

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

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