diff --git a/server/knowledge_base/kb_cache/faiss_cache.py b/server/knowledge_base/kb_cache/faiss_cache.py
index 60c550ee..bee88fbc 100644
--- a/server/knowledge_base/kb_cache/faiss_cache.py
+++ b/server/knowledge_base/kb_cache/faiss_cache.py
@@ -57,7 +57,7 @@ class _FaissPool(CachePool):
     ) -> FAISS:
         embeddings = EmbeddingsFunAdapter(embed_model)
         doc = Document(page_content="init", metadata={})
-        vector_store = FAISS.from_documents([doc], embeddings, normalize_L2=True,distance_strategy="METRIC_INNER_PRODUCT")
+        vector_store = FAISS.from_documents([doc], embeddings, distance_strategy="METRIC_INNER_PRODUCT")
         ids = list(vector_store.docstore._dict.keys())
         vector_store.delete(ids)
         return vector_store
@@ -94,7 +94,7 @@ class KBFaissPool(_FaissPool):
 
                 if os.path.isfile(os.path.join(vs_path, "index.faiss")):
                     embeddings = self.load_kb_embeddings(kb_name=kb_name, embed_device=embed_device, default_embed_model=embed_model)
-                    vector_store = FAISS.load_local(vs_path, embeddings, normalize_L2=True,distance_strategy="METRIC_INNER_PRODUCT")
+                    vector_store = FAISS.load_local(vs_path, embeddings, distance_strategy="METRIC_INNER_PRODUCT")
                 elif create:
                     # create an empty vector store
                     if not os.path.exists(vs_path):