> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Nebius

Nebius Embedder is a class that allows you to embed documents using Nebius Token Factory's embedding models. It extends the OpenAI Embedder class and uses a compatible API interface.

### Parameters

| Parameter         | Type                         | Description                                     | Default                                     |
| ----------------- | ---------------------------- | ----------------------------------------------- | ------------------------------------------- |
| `id`              | `str`                        | The model ID to use for embeddings              | `"BAAI/bge-en-icl"`                         |
| `dimensions`      | `int`                        | Output dimensions of the embedding              | `1024`                                      |
| `encoding_format` | `Literal["float", "base64"]` | Format of the embedding output                  | `"float"`                                   |
| `user`            | `Optional[str]`              | A unique identifier representing your end-user  | `None`                                      |
| `api_key`         | `Optional[str]`              | Nebius API key                                  | Environment variable `NEBIUS_API_KEY`       |
| `organization`    | `Optional[str]`              | Organization ID for API requests                | `None`                                      |
| `base_url`        | `str`                        | Base URL for API requests                       | `"https://api.tokenfactory.nebius.com/v1/"` |
| `request_params`  | `Optional[Dict[str, Any]]`   | Additional parameters for embedding requests    | `None`                                      |
| `client_params`   | `Optional[Dict[str, Any]]`   | Additional parameters for client initialization | `None`                                      |
| `openai_client`   | `Optional[OpenAIClient]`     | Pre-configured OpenAI client                    | `None`                                      |
| `enable_batch`    | `bool`                       | Enable batch processing to reduce API calls     | `False`                                     |
| `batch_size`      | `int`                        | Number of texts to process in each API call     | `100`                                       |