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lines changed Original file line number Diff line number Diff line change @@ -166,7 +166,7 @@ def vector_search(
166166 use_brute_force : bool = False ,
167167) -> dataframe .DataFrame :
168168 """
169- Conduct vector search to earch embeddings to find semantically similar entities.
169+ Conduct vector search which searches embeddings to find semantically similar entities.
170170
171171 **Examples:**
172172
@@ -233,7 +233,7 @@ def vector_search(
233233 Args:
234234 base_table (str):
235235 The table to search for nearest neighbor embeddings.
236- column_to_search (groupby.SeriesGroupBy | groupby.DataFrameGroupBy ):
236+ column_to_search (str ):
237237 The name of the base table column to search for nearest neighbor embeddings.
238238 The column must have a type of ``ARRAY<FLOAT64>``. All elements in the array must be non-NULL.
239239 query (bigframes.dataframe.DataFrame | bigframes.dataframe.Series):
@@ -271,7 +271,7 @@ def vector_search(
271271 raise ValueError (
272272 "You can't specify query_column_to_search when query is a Series."
273273 )
274- # TODO(ashleyxu): ashleyxu. Support options in vector search. b/344019989
274+ # TODO(ashleyxu): Support options in vector search. b/344019989
275275 if fraction_lists_to_search is not None or use_brute_force is True :
276276 raise NotImplementedError (
277277 f"fraction_lists_to_search and use_brute_force is not supported. { constants .FEEDBACK_LINK } "
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