diff --git a/libs/partners/openai/langchain_openai/embeddings/azure.py b/libs/partners/openai/langchain_openai/embeddings/azure.py
index 69288364c05..4afc0b4136c 100644
--- a/libs/partners/openai/langchain_openai/embeddings/azure.py
+++ b/libs/partners/openai/langchain_openai/embeddings/azure.py
@@ -23,18 +23,18 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings):
 
             from langchain_openai import AzureOpenAIEmbeddings
 
-            openai = AzureOpenAIEmbeddings(model=""text-embedding-3-large")
+            openai = AzureOpenAIEmbeddings(model="text-embedding-3-large")
     """
 
     azure_endpoint: Union[str, None] = None
     """Your Azure endpoint, including the resource.
 
         Automatically inferred from env var `AZURE_OPENAI_ENDPOINT` if not provided.
-        
+
         Example: `https://example-resource.azure.openai.com/`
     """
     deployment: Optional[str] = Field(default=None, alias="azure_deployment")
-    """A model deployment. 
+    """A model deployment.
 
         If given sets the base client URL to include `/deployments/{azure_deployment}`.
         Note: this means you won't be able to use non-deployment endpoints.
@@ -46,7 +46,7 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings):
 
         Automatically inferred from env var `AZURE_OPENAI_AD_TOKEN` if not provided.
 
-        For more: 
+        For more:
         https://www.microsoft.com/en-us/security/business/identity-access/microsoft-entra-id.
     """  # noqa: E501
     azure_ad_token_provider: Union[Callable[[], str], None] = None
diff --git a/libs/partners/openai/langchain_openai/embeddings/base.py b/libs/partners/openai/langchain_openai/embeddings/base.py
index e436b701f28..92a86cd570b 100644
--- a/libs/partners/openai/langchain_openai/embeddings/base.py
+++ b/libs/partners/openai/langchain_openai/embeddings/base.py
@@ -49,7 +49,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
 
             from langchain_openai import OpenAIEmbeddings
 
-            openai = OpenAIEmbeddings(model=""text-embedding-3-large")
+            openai = OpenAIEmbeddings(model="text-embedding-3-large")
 
     In order to use the library with Microsoft Azure endpoints, use
         AzureOpenAIEmbeddings.
@@ -60,7 +60,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     async_client: Any = Field(default=None, exclude=True)  #: :meta private:
     model: str = "text-embedding-ada-002"
     dimensions: Optional[int] = None
-    """The number of dimensions the resulting output embeddings should have. 
+    """The number of dimensions the resulting output embeddings should have.
 
     Only supported in `text-embedding-3` and later models.
     """
@@ -71,7 +71,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     """Automatically inferred from env var `OPENAI_API_VERSION` if not provided."""
     # to support Azure OpenAI Service custom endpoints
     openai_api_base: Optional[str] = Field(default=None, alias="base_url")
-    """Base URL path for API requests, leave blank if not using a proxy or service 
+    """Base URL path for API requests, leave blank if not using a proxy or service
         emulator."""
     # to support Azure OpenAI Service custom endpoints
     openai_api_type: Optional[str] = None
@@ -92,21 +92,21 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     request_timeout: Optional[Union[float, Tuple[float, float], Any]] = Field(
         default=None, alias="timeout"
     )
-    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or 
+    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or
         None."""
     headers: Any = None
     tiktoken_enabled: bool = True
     """Set this to False for non-OpenAI implementations of the embeddings API, e.g.
     the `--extensions openai` extension for `text-generation-webui`"""
     tiktoken_model_name: Optional[str] = None
-    """The model name to pass to tiktoken when using this class. 
-    Tiktoken is used to count the number of tokens in documents to constrain 
-    them to be under a certain limit. By default, when set to None, this will 
-    be the same as the embedding model name. However, there are some cases 
-    where you may want to use this Embedding class with a model name not 
-    supported by tiktoken. This can include when using Azure embeddings or 
-    when using one of the many model providers that expose an OpenAI-like 
-    API but with different models. In those cases, in order to avoid erroring 
+    """The model name to pass to tiktoken when using this class.
+    Tiktoken is used to count the number of tokens in documents to constrain
+    them to be under a certain limit. By default, when set to None, this will
+    be the same as the embedding model name. However, there are some cases
+    where you may want to use this Embedding class with a model name not
+    supported by tiktoken. This can include when using Azure embeddings or
+    when using one of the many model providers that expose an OpenAI-like
+    API but with different models. In those cases, in order to avoid erroring
     when tiktoken is called, you can specify a model name to use here."""
     show_progress_bar: bool = False
     """Whether to show a progress bar when embedding."""