OpenAI

OpenAI Embedder embeds documents using OpenAI’s embedding models, including the text-embedding-3 series.

Parameter	Type	Description	Default
`id`	`str`	The model ID to use for embeddings	`"text-embedding-3-small"`
`dimensions`	`Optional[int]`	Output dimensions of the embedding (for text-embedding-3 models)	`None` (resolved to `3072` for `text-embedding-3-large`, otherwise `1536`)
`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]`	OpenAI API key	Environment variable `OPENAI_API_KEY`
`organization`	`Optional[str]`	Organization ID for API requests	`None`
`base_url`	`Optional[str]`	Base URL for API requests	`None`
`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`
`async_client`	`Optional[AsyncOpenAI]`	Pre-configured async OpenAI client	`None`
`enable_batch`	`bool`	Embed multiple texts per API call when adding content to vector databases	`False`
`batch_size`	`int`	Number of texts per batch when `enable_batch` is `True`	`100`