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LinGoose is a Go framework for building awesome AI/LLM applications.

• LinGoose is modular — You can import only the modules you need to build your application.
• LinGoose is an abstraction of features — You can choose your preferred implementation of a feature and/or create your own.
• LinGoose is a complete solution — You can use LinGoose to build your AI/LLM application from the ground up.

Did you know? A goose 🪿 fills its car 🚗 with goose-line ⛽!

🚀 Support the project by starring ⭐ the repository onGitHub and sharing it with your friends!

1. Initialise a new go module

mkdir examplecd examplego mod init example

2. Create your first LinGoose application

package mainimport ("context""fmt""github.com/henomis/lingoose/llm/openai""github.com/henomis/lingoose/thread")funcmain() {myThread:=thread.New().AddMessage(thread.NewUserMessage().AddContent(thread.NewTextContent("Tell me a joke about geese"),),)err:=openai.New().Generate(context.Background(),myThread)iferr!=nil {panic(err)}fmt.Println(myThread)}

3. Install the Go dependencies

go mod tidy

4. Start the example application

export OPENAI_API_KEY=your-api-keygo run.A goose fills its car with goose-line!

If you think you've found a bug, or something isn't behaving the way you think it should, please raise anissue on GitHub.

We welcome contributions, Read ourContribution Guidelines to learn more about contributing toLinGoose

• Anthropic's Claude Integration with Go and Lingoose
• Empowering Go: unveiling the synergy of AI and Q&A pipelines
• Leveraging Go and Redis for Efficient Retrieval Augmented Generation

© Simone Vellei, 2023~time.Now()Released under theMIT License