lingoose - Versatile Go-based Framework Enabling AI and LLM Application Innovation

Introduction to LinGoose

LinGoose is an innovative Go framework designed to facilitate the development of AI and Large Language Model (LLM) applications. Its modular nature allows developers to select and incorporate only the necessary components for their projects, making it a flexible and efficient choice. By offering an abstraction of features, LinGoose ensures that developers have the freedom to choose or even create their preferred implementations. Furthermore, it provides a comprehensive toolkit to construct AI/LLM applications from scratch.

Why Choose LinGoose?

Modular Flexibility: Developers have the liberty to use only the modules that suit their application needs, avoiding unnecessary complexity.
Abstraction of Features: This allows for customization and preference in implementation, enhancing the development process.
Complete Solution: LinGoose offers tools and modules that cover the whole spectrum of building an AI/LLM application, making it an all-in-one solution.

Getting Started with LinGoose

To begin using LinGoose, you start by initializing a new Go module in your project. This can be done by following these steps:

Initialize a Go Module:

mkdir example
cd example
go mod init example

Create a LinGoose Application: Develop an application using LinGoose to generate AI-based functionalities. An example is shown below, where a simple application that generates a joke about geese is created:

package main

import (
    "context"
    "fmt"
    "github.com/henomis/lingoose/llm/openai"
    "github.com/henomis/lingoose/thread"
)

func main() {
    myThread := thread.New().AddMessage(
        thread.NewUserMessage().AddContent(
            thread.NewTextContent("Tell me a joke about geese"),
        ),
    )

    err := openai.New().Generate(context.Background(), myThread)
    if err != nil {
        panic(err)
    }

    fmt.Println(myThread)
}

Install Dependencies: Make sure to tidy up and install any dependencies needed for your project.
```
go mod tidy
```
Run Your Application: Before running, ensure you have set up the necessary API keys.
```
export OPENAI_API_KEY=your-api-key
go run .
```

Contributing and Community

LinGoose welcomes contributions from developers keen on improving the framework or adding new features. For those interested in contributing, guidelines are available on the GitHub repository.

Moreover, LinGoose supports an active community of developers and users who are available for support and sharing insights. Participation in platforms like Discord is encouraged for those looking to connect with peers.

Connect with the Creator

LinGoose is spearheaded by Simone Vellei, who remains actively involved with the community. Interested individuals can follow Simone on several platforms, such as Twitter, GitHub, and LinkedIn, to stay updated on the latest developments and insights.

In conclusion, LinGoose stands out as a versatile, developer-friendly framework that simplifies building AI and LLM applications in Go. Through its modular structure, abstraction capabilities, and comprehensive solution, it empowers developers to innovate and efficiently bring their AI projects to fruition.