Create embeddings

For the following example to work, save your API key to the NEBIUS_API_KEY environment variable. Request:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.tokenfactory.nebius.com/v1/",
    api_key=os.environ.get("NEBIUS_API_KEY"),
)

client.embeddings.create(
    model="BAAI/bge-en-icl",
    input="Wake up, Neo...",
    encoding_format="float"
)

curl -X POST https://api.tokenfactory.nebius.com/v1/embeddings \
  -H "Authorization: Bearer $NEBIUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "BAAI/bge-en-icl",
    "input": "Wake up, Neo...",
    "encoding_format": "float"
  }'

Response

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [
        0.0023064255,
        -0.009327292,
        .... (1536 floats total for BAAI/bge-en-icl)
        -0.0028842222,
      ],
      "index": 0
    }
  ],
  "model": "BAAI/bge-en-icl",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

For detailed field descriptions, see the API reference.

API Documentation

Inference and Training

Sandboxes