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docstring fix
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bigframes/bigquery/__init__.py

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@@ -166,7 +166,7 @@ def vector_search(
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use_brute_force: bool = False,
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) -> dataframe.DataFrame:
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"""
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Conduct vector search to earch embeddings to find semantically similar entities.
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Conduct vector search which searches embeddings to find semantically similar entities.
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**Examples:**
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@@ -233,7 +233,7 @@ def vector_search(
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Args:
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base_table (str):
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The table to search for nearest neighbor embeddings.
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column_to_search (groupby.SeriesGroupBy | groupby.DataFrameGroupBy):
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column_to_search (str):
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The name of the base table column to search for nearest neighbor embeddings.
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The column must have a type of ``ARRAY<FLOAT64>``. All elements in the array must be non-NULL.
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query (bigframes.dataframe.DataFrame | bigframes.dataframe.Series):
@@ -271,7 +271,7 @@ def vector_search(
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raise ValueError(
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"You can't specify query_column_to_search when query is a Series."
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)
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# TODO(ashleyxu): ashleyxu. Support options in vector search. b/344019989
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# TODO(ashleyxu): Support options in vector search. b/344019989
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if fraction_lists_to_search is not None or use_brute_force is True:
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raise NotImplementedError(
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f"fraction_lists_to_search and use_brute_force is not supported. {constants.FEEDBACK_LINK}"

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