> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tokenfactory.nebius.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Create embeddings

For the following example to work, save your [API key](https://docs.tokenfactory.nebius.com/api-reference/introduction#authentication) to the `NEBIUS_API_KEY` environment variable.

Request:

<CodeGroup>
  ```python Python theme={null}
  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"
  )
  ```

  ```bash cURL theme={null}
  curl https://api.tokenfactory.nebius.com/v1/images/generations \
    -H "Authorization: Bearer $NEBIUS_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "stability-ai/sdxl",
      "prompt": "An elephant in a desert",
      "response_format": "b64_json",
      "response_extension": "webp",
      "width": 512,
      "height": 512,
      "num_inference_steps": 30,
      "seed": -1,
      "negative_prompt": "Giraffes, night sky"
    }'
  ```
</CodeGroup>

<Accordion title="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
    }
  }
  ```
</Accordion>

For detailed field descriptions, see the [API reference](https://docs.tokenfactory.nebius.com/api-reference/introduction).