diff --git a/libs/partners/openai/langchain_openai/embeddings/azure.py b/libs/partners/openai/langchain_openai/embeddings/azure.py
index 684689d92ac..0daabd40f92 100644
--- a/libs/partners/openai/langchain_openai/embeddings/azure.py
+++ b/libs/partners/openai/langchain_openai/embeddings/azure.py
@@ -99,10 +99,10 @@ 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 16 texts
+        # 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/reference#embeddings
-        values["chunk_size"] = min(values["chunk_size"], 16)
+        # See: https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices
+        values["chunk_size"] = min(values["chunk_size"], 2048)
         # 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"]