diff --git a/libs/langchain/tests/integration_tests/document_loaders/test_polars_dataframe.py b/libs/langchain/tests/integration_tests/document_loaders/test_polars_dataframe.py
index bd8e129dafa..b9e4727d20b 100644
--- a/libs/langchain/tests/integration_tests/document_loaders/test_polars_dataframe.py
+++ b/libs/langchain/tests/integration_tests/document_loaders/test_polars_dataframe.py
@@ -1,12 +1,18 @@
-import polars as pl
+from typing import TYPE_CHECKING
+
 import pytest
 
 from langchain.document_loaders import PolarsDataFrameLoader
 from langchain.schema import Document
 
+if TYPE_CHECKING:
+    import polars as pl
+
 
 @pytest.fixture
 def sample_data_frame() -> pl.DataFrame:
+    import polars as pl
+
     data = {
         "text": ["Hello", "World"],
         "author": ["Alice", "Bob"],
@@ -26,6 +32,8 @@ def test_load_returns_list_of_documents(sample_data_frame: pl.DataFrame) -> None
 def test_load_converts_dataframe_columns_to_document_metadata(
     sample_data_frame: pl.DataFrame,
 ) -> None:
+    import polars as pl
+
     loader = PolarsDataFrameLoader(sample_data_frame)
     docs = loader.load()
 
diff --git a/libs/langchain/tests/integration_tests/vectorstores/test_epsilla.py b/libs/langchain/tests/integration_tests/vectorstores/test_epsilla.py
index af40d698bfd..33e2e695234 100644
--- a/libs/langchain/tests/integration_tests/vectorstores/test_epsilla.py
+++ b/libs/langchain/tests/integration_tests/vectorstores/test_epsilla.py
@@ -1,6 +1,4 @@
 """Test Epsilla functionality."""
-from pyepsilla import vectordb
-
 from langchain.vectorstores import Epsilla
 from tests.integration_tests.vectorstores.fake_embeddings import (
     FakeEmbeddings,
@@ -9,6 +7,8 @@ from tests.integration_tests.vectorstores.fake_embeddings import (
 
 
 def _test_from_texts() -> Epsilla:
+    from pyepsilla import vectordb
+
     embeddings = FakeEmbeddings()
     client = vectordb.Client()
     return Epsilla.from_texts(fake_texts, embeddings, client)
@@ -22,6 +22,8 @@ def test_epsilla() -> None:
 
 
 def test_epsilla_add_texts() -> None:
+    from pyepsilla import vectordb
+
     embeddings = FakeEmbeddings()
     client = vectordb.Client()
     db = Epsilla(client, embeddings)