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

# Camel.embeddings.mistral embedding

<a id="camel.embeddings.mistral_embedding" />

<a id="camel.embeddings.mistral_embedding.MistralEmbedding" />

## MistralEmbedding

```python theme={"system"}
class MistralEmbedding:
```

Provides text embedding functionalities using Mistral's models.

**Parameters:**

* **model\_type** (EmbeddingModelType, optional): The model type to be used for text embeddings. (default: :obj:`MISTRAL_EMBED`)
* **api\_key** (str, optional): The API key for authenticating with the Mistral service. (default: :obj:`None`)
* **dimensions** (int, optional): The text embedding output dimensions. (default: :obj:`None`)

<a id="camel.embeddings.mistral_embedding.MistralEmbedding.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    model_type: EmbeddingModelType = EmbeddingModelType.MISTRAL_EMBED,
    api_key: str | None = None,
    dimensions: int | None = None
):
```

<a id="camel.embeddings.mistral_embedding.MistralEmbedding.embed_list" />

### embed\_list

```python theme={"system"}
def embed_list(self, objs: list[str], **kwargs: Any):
```

Generates embeddings for the given texts.

**Parameters:**

* **objs** (list\[str]): The texts for which to generate the embeddings. \*\*kwargs (Any): Extra kwargs passed to the embedding API.

**Returns:**

list\[list\[float]]: A list that represents the generated embedding
as a list of floating-point numbers.

<a id="camel.embeddings.mistral_embedding.MistralEmbedding.get_output_dim" />

### get\_output\_dim

```python theme={"system"}
def get_output_dim(self):
```

**Returns:**

int: The dimensionality of the embedding for the current model.