diff --git a/libs/partners/openai/langchain_openai/embeddings/azure.py b/libs/partners/openai/langchain_openai/embeddings/azure.py
index f162c18ecd..de53c8058c 100644
--- a/libs/partners/openai/langchain_openai/embeddings/azure.py
+++ b/libs/partners/openai/langchain_openai/embeddings/azure.py
@@ -102,14 +102,6 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings):
         values["azure_ad_token"] = (
             convert_to_secret_str(azure_ad_token) if azure_ad_token else None
         )
-        # Azure OpenAI embedding models allow a maximum of 2048 texts
-        # at a time in each batch
-        # See: https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices
-        if values["chunk_size"] > 2048:
-            raise ValueError(
-                "Azure OpenAI embeddings only allow a maximum of 2048 texts at a time "
-                "in each batch."
-            )
         # For backwards compatibility. Before openai v1, no distinction was made
         # between azure_endpoint and base_url (openai_api_base).
         openai_api_base = values["openai_api_base"]