Best result is when distance is small, revert to ASCending ordering of results

app.py

@@ -29,7 +29,7 @@ def similarity_search(query: str, k: int = 5):
         query=f"""
         SELECT *, array_cosine_distance({embedding_column_float}, {embedding}::FLOAT[{embedding_dimensions}]) as distance 
         FROM {table_name}
-        ORDER BY distance DESC
+        ORDER BY distance
         LIMIT {k};
     """
     ).to_df()