Embedding API

The Embedding API generates vector representations of text for search, clustering, and semantic analysis.

Overview

Use the Embedding API to convert text into high-dimensional vectors for similarity search and machine learning tasks.

Endpoint

POST https://api.ketivee.com/v1/embedding

Request

{
  "input": "Find me similar documents.",
  "model": "embedding-v1"
}

Response

{
  "data": {
    "embedding": [0.12, 0.98, ...]
  }
}

Example

fetch('https://api.ketivee.com/v1/embedding', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    input: 'Find me similar documents.',
    model: 'embedding-v1'
  })
})
  .then(res => res.json())
  .then(console.log);