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⚡ Building applications with LLMs through composability, with Go! ⚡

This is the Go language implementation of LangChain.

• Documentation Site
• API Reference

See ./examples for example usage.

package main import ( "context" "fmt" "log" "github.com/tmc/langchaingo/llms" "github.com/tmc/langchaingo/llms/openai" ) func main() { ctx := context.Background() llm, err := openai.New() if err != nil { log.Fatal(err) } prompt := "What would be a good company name for a company that makes colorful socks?" completion, err := llms.GenerateFromSinglePrompt(ctx, llm, prompt) if err != nil { log.Fatal(err) } fmt.Println(completion) }

$ go run . Socktastic

Join the Discord server for support and discussions: Join Discord

Here are some links to blog posts and articles on using Langchain Go:

• Using Gemini models in Go with LangChainGo - Jan 2024
• Using Ollama with LangChainGo - Nov 2023
• Creating a simple ChatGPT clone with Go - Aug 2023
• Creating a ChatGPT Clone that Runs on Your Laptop with Go - Aug 2023

There is a momentum for moving the development of langchaingo to a more community effort, if you are interested in being a maintainer or you are a contributor please join our Discord and let us know.