Getting Started: LLMs

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Conceptual Guide

LangChain provides a standard interface for using a variety of LLMs.

To get started, simply use the call method of an LLM implementation, passing in a string input. In this example, we are using the OpenAI implementation:

import { OpenAI } from "langchain/llms/openai";

export const run = async () => {
  const model = new OpenAI();
  // `call` is a simple string-in, string-out method for interacting with the model.
  const resA = await model.call(
    "What would be a good company name a company that makes colorful socks?"
  );
  console.log({ resA });
  // { resA: '\n\nSocktastic Colors' }
};

Dig deeper

📄️ Integrations

LangChain offers a number of LLM implementations that integrate with various model providers. These are:

📄️ Additional Functionality

We offer a number of additional features for LLMs. In most of the examples below, we'll be using the OpenAI LLM. However, all of these features are available for all LLMs.