Mistral

Mistral Embedder embeds documents using Mistral AI’s embedding models.

Parameter	Type	Description	Default
`id`	`str`	The model ID to use for embeddings	`"mistral-embed"`
`dimensions`	`int`	Output dimensions of the embedding	`1024`
`request_params`	`Optional[Dict[str, Any]]`	Additional parameters for embedding requests	`None`
`api_key`	`Optional[str]`	Mistral API key	Environment variable `MISTRAL_API_KEY`
`endpoint`	`Optional[str]`	Custom API endpoint URL	`None`
`max_retries`	`Optional[int]`	Maximum number of retry attempts	`None`
`timeout`	`Optional[int]`	Request timeout in seconds	`None`
`client_params`	`Optional[Dict[str, Any]]`	Additional parameters for client initialization	`None`
`mistral_client`	`Optional[Mistral]`	Pre-configured Mistral 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`

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