Google Vertex AI

The GoogleVertexAIEmbeddings class uses Google's Vertex AI PaLM models to generate embeddings for a given text.

The Vertex AI implementation is meant to be used in Node.js and not directly in a browser, since it requires a service account to use.

Before running this code, you should make sure the Vertex AI API is enabled for the relevant project in your Google Cloud dashboard and that you've authenticated to Google Cloud using one of these methods:

• You are logged into an account (using gcloud auth application-default login) permitted to that project.
• You are running on a machine using a service account that is permitted to the project.
• You have downloaded the credentials for a service account that is permitted to the project and set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of this file.

tip

See this section for general instructions on installing integration packages.

npm

npm install google-auth-library @langchain/community

Yarn

yarn add google-auth-library @langchain/community

pnpm

pnpm add google-auth-library @langchain/community

import { GoogleVertexAIEmbeddings } from "@langchain/community/embeddings/googlevertexai";

export const run = async () => {
  const model = new GoogleVertexAIEmbeddings();
  const res = await model.embedQuery(
    "What would be a good company name for a company that makes colorful socks?"
  );
  console.log({ res });
};

API Reference:

• GoogleVertexAIEmbeddings from @langchain/community/embeddings/googlevertexai

Note: The default Google Vertex AI embeddings model, textembedding-gecko, has a different number of dimensions than OpenAI's text-embedding-ada-002 model and may not be supported by all vector store providers.