msokolov commented on code in PR #14256:
URL: https://github.com/apache/lucene/pull/14256#discussion_r1960570796


##########
lucene/core/src/java/org/apache/lucene/search/knn/MappedDISI.java:
##########
@@ -0,0 +1,102 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.lucene.search.knn;
+
+import java.io.IOException;
+import org.apache.lucene.index.KnnVectorValues;
+import org.apache.lucene.search.DocIdSetIterator;
+
+/**
+ * A {@link DocIdSetIterator} that maps the doc ids from a {@link TopDocsDISI} 
to the corresponding
+ * vector ordinal
+ *
+ * @lucene.internal
+ */
+public sealed class MappedDISI extends DocIdSetIterator {

Review Comment:
   whoa I had to look up what a sealed class is - I guess it is like final but 
you can allow some classes to inherit?



##########
lucene/core/src/java/org/apache/lucene/util/hnsw/HnswGraphBuilder.java:
##########
@@ -229,25 +230,32 @@ public void addGraphNode(int node, 
UpdateableRandomVectorScorer scorer) throws I
       // NOTE: the entry node and max level may not be paired, but because we 
get the level first
       // we ensure that the entry node we get later will always exist on the 
curMaxLevel
       int[] eps = new int[] {hnsw.entryNode()};
+      float[] epsScores = new float[] {scorer.score(eps[0])};
 
       // we first do the search from top to bottom
       // for levels > nodeLevel search with topk = 1
       GraphBuilderKnnCollector candidates = entryCandidates;
       for (int level = curMaxLevel; level > nodeLevel; level--) {
         candidates.clear();
-        graphSearcher.searchLevel(candidates, scorer, level, eps, hnsw, null);
+        graphSearcher.searchLevel(candidates, scorer, level, eps, epsScores, 
hnsw, null);
+        epsScores[0] = candidates.queue.topScore();
         eps[0] = candidates.popNode();
       }
 
       // for levels <= nodeLevel search with topk = beamWidth, and add 
connections
       candidates = beamCandidates;
       NeighborArray[] scratchPerLevel =
           new NeighborArray[Math.min(nodeLevel, curMaxLevel) - 
lowestUnsetLevel + 1];
+      int epCount = eps.length;
       for (int i = scratchPerLevel.length - 1; i >= 0; i--) {
         int level = i + lowestUnsetLevel;
         candidates.clear();
-        graphSearcher.searchLevel(candidates, scorer, level, eps, hnsw, null);
-        eps = candidates.popUntilNearestKNodes();
+        graphSearcher.searchLevel(candidates, scorer, level, eps, epsScores, 
epCount, hnsw, null);
+        candidates.popUntilNearestKNodes();
+        eps = ArrayUtil.growExact(eps, candidates.size());
+        epsScores = ArrayUtil.growExact(epsScores, candidates.size());
+        epCount = candidates.size();
+        candidates.collectNodesAndScores(eps, epsScores);

Review Comment:
   you are re-using the scores from upper levels when scoring the lower levels? 



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