diff --git a/lightrag/llm.py b/lightrag/llm.py
index 53626b76..72af880e 100644
--- a/lightrag/llm.py
+++ b/lightrag/llm.py
@@ -616,6 +616,7 @@ async def jina_embedding(
     data_list = await fetch_data(url, headers, data)
     return np.array([dp["embedding"] for dp in data_list])
 
+
 @wrap_embedding_func_with_attrs(embedding_dim=2048, max_token_size=512)
 @retry(
     stop=stop_after_attempt(3),
diff --git a/lightrag/operate.py b/lightrag/operate.py
index 72734867..468f4b2f 100644
--- a/lightrag/operate.py
+++ b/lightrag/operate.py
@@ -1103,7 +1103,6 @@ async def naive_query(
     response = await use_model_func(
         query,
         system_prompt=sys_prompt,
-        mode=query_param.mode,
     )
 
     if len(response) > len(sys_prompt):
diff --git a/lightrag/utils.py b/lightrag/utils.py
index 49a7b498..32d5c87f 100644
--- a/lightrag/utils.py
+++ b/lightrag/utils.py
@@ -383,7 +383,7 @@ async def get_best_cached_response(
             except Exception as e:  # Catch all possible exceptions
                 logger.warning(f"LLM similarity check failed: {e}")
                 return None  # Return None directly when LLM check fails
-              
+
         prompt_display = (
             best_prompt[:50] + "..." if len(best_prompt) > 50 else best_prompt
         )