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f4c2abbcd9bf804e5ca1fccdb574badc2b2fb2ad
The DefinedOutputParser prompted the LLM with a Typescript schema, but expected a json in response: https://github.com/tmc/langchaingo/blob/1975058648b5914fdd9dc53434c5b59f219e2b5c/outputparser/defined.go\#L65-69 Now it also requests a json.
textsplitter: add WithHeadingHierarchy option to markdown splitter to retain heading hierarchy in chunks (#898)
🦜️🔗 LangChain Go
⚡ Building applications with LLMs through composability, with Go! ⚡
🤔 What is this?
This is the Go language implementation of LangChain.
📖 Documentation
🎉 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
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
Releases
10
Languages
Go
99.8%
Makefile
0.2%