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feat: Vector retrieval matches datasource #350

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Merged
XiaJunjie2020 merged 1 commit into from
Oct 23, 2025
Merged

feat: Vector retrieval matches datasource #350

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8 changes: 4 additions & 4 deletions backend/apps/datasource/embedding/ds_embedding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,13 +42,13 @@ def get_ds_embedding(session: SessionDep, current_user: CurrentUser, _ds_list, o

_list.sort(key=lambda x: x['cosine_similarity'], reverse=True)
# print(len(_list))
_list = _list[:settings.DS_EMBEDDING_COUNT]
SQLBotLogUtil.info(json.dumps(
[{"id": ele.get("id"), "name": ele.get("ds").name,
"cosine_similarity": ele.get("cosine_similarity")}
for ele in _list]))
ds_l = _list[:settings.DS_EMBEDDING_COUNT]
return [{"id": obj.get('ds').id, "name": obj.get('ds').name, "description": obj.get('ds').description}
for obj in ds_l]
for obj in _list]
except Exception:
traceback.print_exc()
else:
Expand Down Expand Up @@ -79,13 +79,13 @@ def get_ds_embedding(session: SessionDep, current_user: CurrentUser, _ds_list, o
# print(len(_list))
end_time = time.time()
SQLBotLogUtil.info(str(end_time - start_time))
_list = _list[:settings.DS_EMBEDDING_COUNT]
SQLBotLogUtil.info(json.dumps(
[{"id": ele.get("id"), "name": ele.get("ds").name,
"cosine_similarity": ele.get("cosine_similarity")}
for ele in _list]))
ds_l = _list[:settings.DS_EMBEDDING_COUNT]
return [{"id": obj.get('ds').id, "name": obj.get('ds').name, "description": obj.get('ds').description}
for obj in ds_l]
for obj in _list]
except Exception:
traceback.print_exc()
return _list