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🦜️🔗 LangChain Go

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

🤔 What is this?

This is the Go language implementation of LangChain.

📖 Documentation

• Documentation Site
• API Reference

🎉 Examples

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

Resources

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

Contributors

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.