@@ -60,7 +60,7 @@ def vector_search_prefilter(db):
6060 # Requires a composite vector index
6161 vector_query = collection .where ("color" , "==" , "red" ).find_nearest (
6262 vector_field = "embedding_field" ,
63- query_vector = Vector ([3.0 , 1.0 , 2.0 ]),
63+ query_vector = Vector ([0.3416704 , 0.18332680 , 0.24160706 ]),
6464 distance_measure = DistanceMeasure .EUCLIDEAN ,
6565 limit = 5 ,
6666 )
@@ -77,7 +77,7 @@ def vector_search_distance_result_field(db):
7777
7878 vector_query = collection .find_nearest (
7979 vector_field = "embedding_field" ,
80- query_vector = Vector ([3.0 , 1.0 , 2.0 ]),
80+ query_vector = Vector ([0.3416704 , 0.18332680 , 0.24160706 ]),
8181 distance_measure = DistanceMeasure .EUCLIDEAN ,
8282 limit = 10 ,
8383 distance_result_field = "vector_distance" ,
@@ -97,7 +97,7 @@ def vector_search_distance_result_field_with_mask(db):
9797 # [START firestore_vector_search_distance_result_field_masked]
9898 vector_query = collection .select (["color" , "vector_distance" ]).find_nearest (
9999 vector_field = "embedding_field" ,
100- query_vector = Vector ([3.0 , 1.0 , 2.0 ]),
100+ query_vector = Vector ([0.3416704 , 0.18332680 , 0.24160706 ]),
101101 distance_measure = DistanceMeasure .EUCLIDEAN ,
102102 limit = 10 ,
103103 distance_result_field = "vector_distance" ,
@@ -115,7 +115,7 @@ def vector_search_distance_threshold(db):
115115
116116 vector_query = collection .find_nearest (
117117 vector_field = "embedding_field" ,
118- query_vector = Vector ([3.0 , 1.0 , 2.0 ]),
118+ query_vector = Vector ([0.3416704 , 0.18332680 , 0.24160706 ]),
119119 distance_measure = DistanceMeasure .EUCLIDEAN ,
120120 limit = 10 ,
121121 distance_threshold = 4.5 ,
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