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Support knowledge metadata filter (#15982)

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Jyong 2025-03-18 16:42:19 +08:00 • committed by GitHub
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20
api/core/rag/datasource/vdb/baidu/baidu_vector.py
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@ -123,11 +123,21 @@ class BaiduVector(BaseVector):
def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
query_vector = [float(val) if isinstance(val, np.float64) else val for val in query_vector]
anns = AnnSearch(
vector_field=self.field_vector,
vector_floats=query_vector,
params=HNSWSearchParams(ef=kwargs.get("ef", 10), limit=kwargs.get("top_k", 4)),
)
document_ids_filter = kwargs.get("document_ids_filter")
if document_ids_filter:
document_ids = ", ".join(f"'{id}'" for id in document_ids_filter)
anns = AnnSearch(
vector_field=self.field_vector,
vector_floats=query_vector,
params=HNSWSearchParams(ef=kwargs.get("ef", 10), limit=kwargs.get("top_k", 4)),
filter=f"document_id IN ({document_ids})",
)
else:
anns = AnnSearch(
vector_field=self.field_vector,
vector_floats=query_vector,
params=HNSWSearchParams(ef=kwargs.get("ef", 10), limit=kwargs.get("top_k", 4)),
)
res = self._db.table(self._collection_name).search(
anns=anns,
projections=[self.field_id, self.field_text, self.field_metadata],