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quicksandzn 2024-04-19 09:08:23 +08:00
parent 90dca38ce7
commit e3d5d2f7ae
1 changed files with 0 additions and 8 deletions
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api/core/rag/datasource/vdb/tencent/tencent_vector.py
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@ -156,14 +156,6 @@ class TencentVector(BaseVector):
return self._get_search_res(res)
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
# res = (self._db.collection(self._collection_name)
# .searchByText(embeddingItems=[query],
# params=document.HNSWSearchParams(ef=kwargs.get("ef", 10)),
# retrieve_vector=False,
# limit=kwargs.get('top_k', 4),
# timeout=self._client_config.timeout,
# ))
# must deploy embedding model in tencent vector db , for now not support
return []
def _get_search_res(self, res):