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refactor: update the default values of top-k parameter in vdb to be consistent (#9367)

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zhuhao 2024-10-16 16:00:21 +08:00 • committed by GitHub
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9 changed files with 9 additions and 29 deletions
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api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py
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@ -173,7 +173,7 @@ class VikingDBVector(BaseVector):
def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
results = self._client.get_index(self._collection_name, self._index_name).search_by_vector(
query_vector, limit=kwargs.get("top_k", 50)
query_vector, limit=kwargs.get("top_k", 4)
)
score_threshold = float(kwargs.get("score_threshold") or 0.0)
return self._get_search_res(results, score_threshold)