fix test update readme

README.md

@@ -54,11 +54,11 @@ CREATE INDEX my_hnsw_cosine_index ON my_vector_table USING HNSW (vec) WITH (metr
 
 The following table shows the supported distance metrics and their corresponding DuckDB functions
 
-| Description | Metric | Function |
-| --- | --- | --- |
-| Euclidean distance | `l2sq` | `array_distance` |
-| Cosine similarity | `cosine` | `array_cosine_similarity` |
-| Inner product | `ip` | `array_inner_product` |
+| Description | Metric | Function                       |
+| --- | --- |--------------------------------|
+| Euclidean distance | `l2sq` | `array_distance`               |
+| Cosine similarity | `cosine` | `array_cosine_distance`        |
+| Inner product | `ip` | `array_negative_inner_product` |
 
 ## Inserts, Updates,  Deletes and Re-Compaction
 

test/sql/hnsw/hnsw_topk.test

@@ -17,8 +17,13 @@ EXPLAIN SELECT min_by(vec, array_distance(vec, [1,2,3]::FLOAT[3]), 3) as x FROM
 ----
 physical_plan	<REGEX>:.*HNSW_INDEX_SCAN.*
 
+query II
+EXPLAIN SELECT list_sum(flatten(min_by(vec, array_distance(vec, [5,5,5]::FLOAT[3]), 3))) BETWEEN 44 AND 50 FROM t1;
+----
+physical_plan	<REGEX>:.*HNSW_INDEX_SCAN.*
+
 query I
-SELECT min_by(vec, array_distance(vec, [5,5,5]::FLOAT[3]), 3) as x FROM t1;
+SELECT list_sum(flatten(min_by(vec, array_distance(vec, [5,5,5]::FLOAT[3]), 3))) BETWEEN 45 AND 50 FROM t1;
 ----
-[[5.0, 5.0, 5.0], [6.0, 5.0, 5.0], [5.0, 6.0, 5.0]]
+true