diff --git a/langchain/embeddings/openai.py b/langchain/embeddings/openai.py
index fbf6a1bcff4..3b8fa5559fd 100644
--- a/langchain/embeddings/openai.py
+++ b/langchain/embeddings/openai.py
@@ -147,11 +147,13 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
                 texts, engine=self.document_model_name, chunk_size=chunk_size
             )
         else:
-            responses = [
-                self._embedding_func(text, engine=self.document_model_name)
-                for text in texts
-            ]
-            return responses
+            results = []
+            for i in range(0, len(texts), chunk_size):
+                response = self.client.create(
+                    input=texts[i : i + chunk_size], engine=self.document_model_name
+                )
+                results += [r["embedding"] for r in response["data"]]
+            return results
 
     def embed_query(self, text: str) -> List[float]:
         """Call out to OpenAI's embedding endpoint for embedding query text.