https://github.com/tmc/langchaingo

LangChain for Go, the easiest way to write LLM-based programs in Go
https://github.com/tmc/langchaingo

ai go golang langchain

Last synced: 3 days ago
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LangChain for Go, the easiest way to write LLM-based programs in Go

• Host: GitHub
• URL: https://github.com/tmc/langchaingo
• Owner: tmc
• License: mit
• Created: 2023-02-18T20:04:54.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-24T06:09:51.000Z (about 2 months ago)
• Last Synced: 2024-10-29T11:28:03.678Z (about 1 month ago)
• Topics: ai, go, golang, langchain
• Language: Go
• Homepage: https://tmc.github.io/langchaingo/
• Size: 13.1 MB
• Stars: 4,524
• Watchers: 37
• Forks: 617
• Open Issues: 218
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# 🦜️🔗 LangChain Go

[![go.dev reference](https://img.shields.io/badge/go.dev-reference-007d9c?logo=go&logoColor=white&style=flat-square)](https://pkg.go.dev/github.com/tmc/langchaingo)

[![scorecard](https://goreportcard.com/badge/github.com/tmc/langchaingo)](https://goreportcard.com/report/github.com/tmc/langchaingo)

[![](https://dcbadge.vercel.app/api/server/2NgDkQDjpQ?compact=true&style=flat)](https://discord.gg/2NgDkQDjpQ)

[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/tmc/langchaingo)

[](https://codespaces.new/tmc/langchaingo)

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

## 🤔 What is this?

This is the Go language implementation of [LangChain](https://github.com/langchain-ai/langchain).

## 📖 Documentation

- [Documentation Site](https://tmc.github.io/langchaingo/docs/)

- [API Reference](https://pkg.go.dev/github.com/tmc/langchaingo)

## 🎉 Examples

See [./examples](./examples) for example usage.

```go

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)

}

```

```shell

$ go run .

Socktastic

```

# Resources

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

- [Using Gemini models in Go with LangChainGo](https://eli.thegreenplace.net/2024/using-gemini-models-in-go-with-langchaingo/) - Jan 2024

- [Using Ollama with LangChainGo](https://eli.thegreenplace.net/2023/using-ollama-with-langchaingo/) - Nov 2023

- [Creating a simple ChatGPT clone with Go](https://sausheong.com/creating-a-simple-chatgpt-clone-with-go-c40b4bec9267?sk=53a2bcf4ce3b0cfae1a4c26897c0deb0) - Aug 2023

- [Creating a ChatGPT Clone that Runs on Your Laptop with Go](https://sausheong.com/creating-a-chatgpt-clone-that-runs-on-your-laptop-with-go-bf9d41f1cf88?sk=05dc67b60fdac6effb1aca84dd2d654e) - Aug 2023

# Contributors