diff --git a/rag/llm/embedding_model.py b/rag/llm/embedding_model.py
index 6530e9b67..52656e46e 100644
--- a/rag/llm/embedding_model.py
+++ b/rag/llm/embedding_model.py
@@ -209,12 +209,15 @@ class QWenEmbed(Base):
         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:
+            while (resp["output"] is None or resp["output"].get("embeddings") 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"))
+            if retry_max == 0 and (resp["output"] is None or resp["output"].get("embeddings") is None):
+                if resp.get("message"):
+                    log_exception(ValueError(f"Retry_max reached, calling embedding model failed: {resp['message']}"))
+                else:
+                    log_exception(ValueError("Retry_max reached, calling embedding model failed"))
                 raise
             try:
                 embds = [[] for _ in range(len(resp["output"]["embeddings"]))]