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4 changes: 3 additions & 1 deletion reme/core/embedding/openai_embedding_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -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):
Expand Down