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⚡ Building applications with LLMs through composability ⚡
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⚡ Building applications with LLMs through composability ⚡
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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.
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While the [SemanticKernel](https://github.com/microsoft/semantic-kernel/) is good and we will use it wherever possible, we believe that it has many limitations and based on Microsoft technologies.
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We proceed from the position of the maximum choice of available options and are open to using third-party libraries within individual implementations.
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While the [SemanticKernel](https://github.com/microsoft/semantic-kernel/) is useful and we will use it wherever possible, we believe that it has several limitations and is based on Microsoft technologies.
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We proceed from the position of the maximum choice of available options and are open to using third-party libraries within individual implementations.
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I want to note:
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Maintainer notes:
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- 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
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- I try to accept any Pull Request within 24 hours (of course, it depends, but I will try)
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- I'm also looking for developers to join the core team. I will sponsor them whenever possible and also share any money received.
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- I also respond quite quickly on Discord for any questions related to the project
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## Usage
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You can use our wiki to get started: https://tryagi.github.io/LangChain/
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If the wiki contains unupdated code, you can always take a look at [the tests for this](src/Meta/test/WikiTests.cs)
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You can use our wiki to get started: https://tryagi.github.io/LangChain/
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If the wiki contains outdated code, you can always take a look at [the tests for this](src/Meta/test/WikiTests.cs)
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Also see [examples](./examples) for example usage or [tests](./src/tests/LangChain.IntegrationTests/ReadmeTests.cs).
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```csharp
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// Price to run from zero(create embeddings and request to LLM): 0,015$
@@ -36,7 +36,7 @@ var provider = new OpenAiProvider(
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