> For the complete documentation index, see [llms.txt](https://docs.projectbit.ca/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.projectbit.ca/documentation/embeddings/azure-openai-embedder.md).

# Azure OpenAI Embedder

The `AzureOpenAIEmbedder` class is used to embed text data into vectors using the Azure OpenAI API. Get your key from [here](https://ai.azure.com/).

### [​](https://docs.phidata.com/embedder/azure_openai#usage)Usage <a href="#usage" id="usage"></a>

cookbook/embedders/azure\_embedder.py

```python
from bitca.agent import AgentKnowledge
from bitca.vectordb.pgvector import PgVector
from bitca.embedder.azure_openai import AzureOpenAIEmbedder

embeddings = AzureOpenAIEmbedder().get_embedding("The quick brown fox jumps over the lazy dog.")

# Print the embeddings and their dimensions
print(f"Embeddings: {embeddings[:5]}")
print(f"Dimensions: {len(embeddings)}")

# Example usage:
knowledge_base = AgentKnowledge(
    vector_db=PgVector(
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
        table_name="azure_openai_embeddings",
        embedder=AzureOpenAIEmbedder(),
    ),
    num_documents=2,
)
```

### [​](https://docs.phidata.com/embedder/azure_openai#params)Params <a href="#params" id="params"></a>

| Parameter                 | Type                          | Default                    | Description                                                                      |
| ------------------------- | ----------------------------- | -------------------------- | -------------------------------------------------------------------------------- |
| `model`                   | `str`                         | `"text-embedding-ada-002"` | The name of the model used for generating embeddings.                            |
| `dimensions`              | `int`                         | `1536`                     | The dimensionality of the embeddings generated by the model.                     |
| `encoding_format`         | `Literal['float', 'base64']`  | `"float"`                  | The format in which the embeddings are encoded. Options are “float” or “base64”. |
| `user`                    | `str`                         | -                          | The user associated with the API request.                                        |
| `api_key`                 | `str`                         | -                          | The API key used for authenticating requests.                                    |
| `api_version`             | `str`                         | `"2024-02-01"`             | The version of the API to use for the requests.                                  |
| `azure_endpoint`          | `str`                         | -                          | The Azure endpoint for the API requests.                                         |
| `azure_deployment`        | `str`                         | -                          | The Azure deployment name for the API requests.                                  |
| `base_url`                | `str`                         | -                          | The base URL for the API endpoint.                                               |
| `azure_ad_token`          | `str`                         | -                          | The Azure Active Directory token for authentication.                             |
| `azure_ad_token_provider` | `Any`                         | -                          | The provider for obtaining the Azure AD token.                                   |
| `organization`            | `str`                         | -                          | The organization associated with the API request.                                |
| `request_params`          | `Optional[Dict[str, Any]]`    | -                          | Additional parameters to include in the API request. Optional.                   |
| `client_params`           | `Optional[Dict[str, Any]]`    | -                          | Additional parameters for configuring the API client. Optional.                  |
| `openai_client`           | `Optional[AzureOpenAIClient]` | -                          | An instance of the AzureOpenAIClient to use for making API requests. Optional.   |