diff --git a/src/memos/api/handlers/chat_handler.py b/src/memos/api/handlers/chat_handler.py
index 44ecbe531..06deb8024 100644
--- a/src/memos/api/handlers/chat_handler.py
+++ b/src/memos/api/handlers/chat_handler.py
@@ -541,16 +541,7 @@ def generate_chat_response() -> Generator[str, None, None]:
                     )
 
                     # Step 3: Generate streaming response from LLM
-                    if (
-                        chat_req.model_name_or_path
-                        and chat_req.model_name_or_path not in self.chat_llms
-                    ):
-                        raise HTTPException(
-                            status_code=400,
-                            detail=f"Model {chat_req.model_name_or_path} not suport, choose from {list(self.chat_llms.keys())}",
-                        )
-
-                    model = chat_req.model_name_or_path or next(iter(self.chat_llms.keys()))
+                    model = next(iter(self.chat_llms.keys()))
                     response_stream = self.chat_llms[model].generate_stream(
                         current_messages, model_name_or_path=model
                     )
diff --git a/src/memos/vec_dbs/milvus.py b/src/memos/vec_dbs/milvus.py
index 42aeec29b..ecbca5815 100644
--- a/src/memos/vec_dbs/milvus.py
+++ b/src/memos/vec_dbs/milvus.py
@@ -588,9 +588,9 @@ def add(self, collection_name: str, data: list[MilvusVecDBItem | dict[str, Any]]
 
             # Prepare entity data
             entity = {
-                "id": item.id,
-                "memory": item.memory,
-                "original_text": item.original_text,
+                "id": item.id[:65000],
+                "memory": item.memory[:65000],
+                "original_text": item.original_text[:65000],
                 "vector": item.vector,
                 "payload": item.payload if item.payload else {},
             }