diff --git a/rag/llm/embedding_model.py b/rag/llm/embedding_model.py
index 52656e46e..16a415bf7 100644
--- a/rag/llm/embedding_model.py
+++ b/rag/llm/embedding_model.py
@@ -104,10 +104,13 @@ class DefaultEmbedding(Base):
         token_count = 0
         for t in texts:
             token_count += num_tokens_from_string(t)
-        ress = []
+        ress = None
         for i in range(0, len(texts), batch_size):
-            ress.extend(self._model.encode(texts[i : i + batch_size]).tolist())
-        return np.array(ress), token_count
+            if ress is None:
+                ress = self._model.encode(texts[i : i + batch_size], convert_to_numpy=True)
+            else:
+                ress = np.concatenate((ress, self._model.encode(texts[i : i + batch_size], convert_to_numpy=True)), axis=0)
+        return ress, token_count
 
     def encode_queries(self, text: str):
         token_count = num_tokens_from_string(text)