LangChain embeddings with TypeScript:

import dotenv from "dotenv";
import { OpenAIEmbeddings } from "@langchain/openai";

dotenv.config();

const embeddings = new OpenAIEmbeddings({
  apiKey: process.env.IONOS_API_TOKEN,
  model: "BAAI/bge-m3",
  encodingFormat: "float",
  configuration: {
    baseURL: "https://openai.inference.de-txl.ionos.com/v1",
  },
});

const texts = [
  "Entertainment",
  "Michael Jackson",
  "King of Pop",
  "Angela Merkel",
];
const vectors = await embeddings.embedDocuments(texts);
console.log(vectors);

const dot = (a: number[], b: number[]) =>
  a.reduce((sum, val, i) => sum + val * b[i], 0);

const sim = dot(vectors[0], vectors[1]);
console.log(`Similarity: ${sim.toFixed(2)}`);