diff --git a/libs/partners/openai/langchain_openai/embeddings/base.py b/libs/partners/openai/langchain_openai/embeddings/base.py
index e3d03f942b8..826f3563adf 100644
--- a/libs/partners/openai/langchain_openai/embeddings/base.py
+++ b/libs/partners/openai/langchain_openai/embeddings/base.py
@@ -573,7 +573,9 @@ 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: int | None = None
@@ -603,7 +605,9 @@ 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 await self._aget_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/partners/openai/tests/unit_tests/embeddings/test_base.py b/libs/partners/openai/tests/unit_tests/embeddings/test_base.py
index d464b9cbb5b..7714b89b12a 100644
--- a/libs/partners/openai/tests/unit_tests/embeddings/test_base.py
+++ b/libs/partners/openai/tests/unit_tests/embeddings/test_base.py
@@ -20,6 +20,26 @@ def test_openai_incorrect_field() -> None:
 
 
 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]}]},
+        ]
+
+        result = embeddings.embed_documents(texts, chunk_size=custom_chunk_size)
+        _, tokens, __ = embeddings._tokenize(texts, custom_chunk_size)
+        mock_create.call_args
+        mock_create.assert_any_call(input=tokens[0:3], **embeddings._invocation_params)
+        mock_create.assert_any_call(input=tokens[3:4], **embeddings._invocation_params)
+
+    assert result == [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6], [0.7, 0.8]]
+
+
+def test_embed_documents_with_custom_chunk_size_no_check_ctx_length() -> None:
     embeddings = OpenAIEmbeddings(chunk_size=2, check_embedding_ctx_length=False)
     texts = ["text1", "text2", "text3", "text4"]
     custom_chunk_size = 3