diff --git a/reme/core/embedding/openai_embedding_model.py b/reme/core/embedding/openai_embedding_model.py
index 3857f782..d686c83c 100644
--- a/reme/core/embedding/openai_embedding_model.py
+++ b/reme/core/embedding/openai_embedding_model.py
@@ -45,7 +45,9 @@ async def _get_embeddings(self, input_text: list[str], **kwargs) -> list[list[fl
 
         result_emb = [[] for _ in range(len(input_text))]
         for emb in completion.data:
-            result_emb[emb.index] = emb.embedding
+            # BGE-M3 returns dense_embedding instead of embedding; use as fallback
+            vec = getattr(emb, "embedding", None) or getattr(emb, "dense_embedding", None)
+            result_emb[emb.index] = list(vec) if vec is not None else []
         return result_emb
 
     async def start(self):