Nebius - Agno

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`

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