diff --git a/rag/llm/embedding_model.py b/rag/llm/embedding_model.py
index fbfb7468b..3590318f9 100644
--- a/rag/llm/embedding_model.py
+++ b/rag/llm/embedding_model.py
@@ -200,13 +200,22 @@ class QWenEmbed(Base):
 
     def encode(self, texts: list):
         import dashscope
+        import time
 
         batch_size = 4
         res = []
         token_count = 0
         texts = [truncate(t, 2048) for t in texts]
         for i in range(0, len(texts), batch_size):
+            retry_max = 5
             resp = dashscope.TextEmbedding.call(model=self.model_name, input=texts[i : i + batch_size], api_key=self.key, text_type="document")
+            while resp["output"] is None and retry_max > 0:
+                time.sleep(10)
+                resp = dashscope.TextEmbedding.call(model=self.model_name, input=texts[i : i + batch_size], api_key=self.key, text_type="document")
+                retry_max -= 1
+            if retry_max == 0 and resp["output"] is None:
+                log_exception(ValueError("Retry_max reached, calling embedding model failed"))
+                raise
             try:
                 embds = [[] for _ in range(len(resp["output"]["embeddings"]))]
                 for e in resp["output"]["embeddings"]: