refactor: update the default values of top-k parameter in vdb to be consistent (#9367)
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@@ -173,7 +173,7 @@ class VikingDBVector(BaseVector):
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def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
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results = self._client.get_index(self._collection_name, self._index_name).search_by_vector(
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query_vector, limit=kwargs.get("top_k", 50)
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query_vector, limit=kwargs.get("top_k", 4)
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)
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score_threshold = float(kwargs.get("score_threshold") or 0.0)
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return self._get_search_res(results, score_threshold)
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