Embeddings and reranking

Voyage AI API

by docs.voyageai.com

Embeddings and reranking Added on November 1st, 2026
Visit docs.voyageai.com →

What it does

Voyage AI offers embedding and reranking models for search and retrieval-augmented generation (RAG): turn text, code or images into vectors for semantic search, and rerank search results by how well they match a question. There are general, multilingual, code, finance and law models. Requests are JSON POST calls with an API key. Free with a free API key for the first 200 million tokens per account on most current models; paid per token after that.
  • API
  • JSON
  • REST

At a glance

API key
Needed, free · More APIs with a free key
Pricing
Free with a free API key for the first 200 million tokens per account on most current models; paid per token after that.
From the browser
Yes (CORS)
Formats
JSON
Interface
REST
Provider
docs.voyageai.com

More information: https://docs.voyageai.com/docs/pricing

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Voyage AI API

Example request

curl

curl -X POST 'https://api.voyageai.com/v1/embeddings' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"input": ["hello"], "model": "voyage-4"}'

JavaScript

const response = await fetch("https://api.voyageai.com/v1/embeddings", {
  method: 'POST',
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({"input":["hello"],"model":"voyage-4"}),
});
const data = await response.json();
console.log(data);

Python

import requests

response = requests.post(
    "https://api.voyageai.com/v1/embeddings",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "input": [
            "hello",
        ],
        "model": "voyage-4",
    },
    timeout=30,
)
print(response.json())

Replace YOUR_API_KEY with your own key. The JavaScript works in a web page as well as in Node.js 18 or newer.

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