diff --git a/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py b/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
index 48231a97..00045e15 100644
--- a/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
+++ b/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py
@@ -1,14 +1,16 @@
 import uuid
 from datetime import datetime, timedelta
 from threading import Lock, Thread
-from typing import Any, Dict, List, Literal, Optional, Type, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Type, Union
 
 from google.api_core.exceptions import ClientError
-from google.cloud.bigquery.table import Table
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
 from langchain_core.pydantic_v1 import root_validator
 
+if TYPE_CHECKING:
+    from google.cloud.bigquery.table import Table
+
 from langchain_google_community.bq_storage_vectorstores._base import (
     BaseBigQueryVectorStore,
 )
@@ -317,7 +319,7 @@ def _create_temp_bq_table(
         self,
         embeddings: Optional[List[List[float]]],
         expire_hours_temp_table: int = 12,
-    ) -> Table:
+    ) -> "Table":
         """Create temporary table to store query embeddings prior to batch search"""
         import pandas as pd
         from google.cloud import bigquery  # type: ignore[attr-defined]