xsAI

Create embeddings ​

An embedding is a numeric vector that represents input text.

This page describes the v0 API from v0.5.1. Use v0 package builds with these examples. Make sure that the service accepts the model ID and request protocol shown below.

sh
npm i @xsai/embed@0.5.1

Examples ​

embed ​

ts
const { embedding } = await embed({
  apiKey: env.OPENAI_API_KEY!,
  baseURL: 'https://api.openai.com/v1/',
  input: 'sunny day at the beach',
  model: 'text-embedding-3-large',
})

embedMany ​

ts
const { embeddings } = await embedMany({
  apiKey: env.OPENAI_API_KEY!,
  baseURL: 'https://api.openai.com/v1/',
  input: [
    'sunny day at the beach',
    'rainy afternoon in the city',
    'snowy night in the mountains',
  ],
  model: 'text-embedding-3-large'
})

Result ​

embed returns one vector. embedMany returns vectors for the input strings.