feat: Vector retrieval matches tables

This commit is contained in:
junjun
2025-10-10 13:16:54 +08:00
committed by Junjun
parent b1dda8b454
commit 2022b7ac34
@@ -71,7 +71,7 @@ def get_ds_embedding(session: SessionDep, current_user: CurrentUser, _ds_list, o
for index in range(len(results)):
item = results[index]
if item:
_list[index]['cosine_similarity'] = cosine_similarity(q_embedding, item)
_list[index]['cosine_similarity'] = cosine_similarity(q_embedding, json.loads(item))
_list.sort(key=lambda x: x['cosine_similarity'], reverse=True)
# print(len(_list))