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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.