diff --git a/libs/community/langchain_community/embeddings/openai.py b/libs/community/langchain_community/embeddings/openai.py
index 126fe564ae5..5bedfc747ee 100644
--- a/libs/community/langchain_community/embeddings/openai.py
+++ b/libs/community/langchain_community/embeddings/openai.py
@@ -668,7 +668,9 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         # NOTE: to keep things simple, we assume the list may contain texts longer
         #       than the maximum context and use length-safe embedding function.
         engine = cast(str, self.deployment)
-        return self._get_len_safe_embeddings(texts, engine=engine)
+        return self._get_len_safe_embeddings(
+            texts, engine=engine, chunk_size=chunk_size
+        )
 
     async def aembed_documents(
         self, texts: List[str], chunk_size: Optional[int] = 0
@@ -686,7 +688,9 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
         # NOTE: to keep things simple, we assume the list may contain texts longer
         #       than the maximum context and use length-safe embedding function.
         engine = cast(str, self.deployment)
-        return await self._aget_len_safe_embeddings(texts, engine=engine)
+        return self._get_len_safe_embeddings(
+            texts, engine=engine, chunk_size=chunk_size
+        )
 
     def embed_query(self, text: str) -> List[float]:
         """Call out to OpenAI's embedding endpoint for embedding query text.
diff --git a/libs/community/tests/unit_tests/embeddings/test_openai.py b/libs/community/tests/unit_tests/embeddings/test_openai.py
index e62bee5f945..8d349e67387 100644
--- a/libs/community/tests/unit_tests/embeddings/test_openai.py
+++ b/libs/community/tests/unit_tests/embeddings/test_openai.py
@@ -1,7 +1,12 @@
+import os
+from unittest.mock import patch
+
 import pytest
 
 from langchain_community.embeddings.openai import OpenAIEmbeddings
 
+os.environ["OPENAI_API_KEY"] = "foo"
+
 
 @pytest.mark.requires("openai")
 def test_openai_invalid_model_kwargs() -> None:
@@ -14,3 +19,20 @@ def test_openai_incorrect_field() -> None:
     with pytest.warns(match="not default parameter"):
         llm = OpenAIEmbeddings(foo="bar", openai_api_key="foo")  # type: ignore[call-arg]
     assert llm.model_kwargs == {"foo": "bar"}
+
+
+@pytest.mark.requires("openai")
+def test_embed_documents_with_custom_chunk_size() -> None:
+    embeddings = OpenAIEmbeddings(chunk_size=2)
+    texts = ["text1", "text2", "text3", "text4"]
+    custom_chunk_size = 3
+
+    with patch.object(embeddings.client, "create") as mock_create:
+        mock_create.side_effect = [
+            {"data": [{"embedding": [0.1, 0.2]}, {"embedding": [0.3, 0.4]}]},
+            {"data": [{"embedding": [0.5, 0.6]}, {"embedding": [0.7, 0.8]}]},
+        ]
+
+        embeddings.embed_documents(texts, chunk_size=custom_chunk_size)
+        mock_create.assert_any_call(input=[[1342, 19]], **embeddings._invocation_params)
+        mock_create.assert_any_call(input=[[1342, 19]], **embeddings._invocation_params)