kaivalnp commented on code in PR #12679:
URL: https://github.com/apache/lucene/pull/12679#discussion_r1362476143


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lucene/core/src/java/org/apache/lucene/search/RnnCollector.java:
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@@ -0,0 +1,71 @@
+/*
+ * 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;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * A collector that performs radius-based vector searches. All vectors within 
an outer radius are
+ * traversed, and those within an inner radius are collected.
+ *
+ * @lucene.experimental
+ */
+public class RnnCollector extends AbstractKnnCollector {
+  private final float traversalThreshold, resultThreshold;
+  private final List<ScoreDoc> scoreDocList;
+
+  /**
+   * Performs radius-based vector searches.
+   *
+   * @param traversalThreshold similarity score corresponding to outer radius 
of graph traversal.
+   * @param resultThreshold similarity score corresponding to inner radius of 
result collection.
+   * @param visitLimit limit of graph nodes to visit.
+   */
+  public RnnCollector(float traversalThreshold, float resultThreshold, long 
visitLimit) {
+    super(Integer.MAX_VALUE, visitLimit);
+    assert traversalThreshold <= resultThreshold;
+    this.traversalThreshold = traversalThreshold;
+    this.resultThreshold = resultThreshold;
+    this.scoreDocList = new ArrayList<>();
+  }
+
+  @Override
+  public boolean collect(int docId, float similarity) {
+    if (similarity >= resultThreshold) {
+      return scoreDocList.add(new ScoreDoc(docId, similarity));
+    }
+    return false;
+  }
+
+  @Override
+  public float minCompetitiveSimilarity() {
+    return traversalThreshold;
+  }
+
+  @Override
+  // This does not return results in a sorted order to prevent unnecessary 
calculations (because we
+  // do not want to maintain the topK)

Review Comment:
   Moved to more suitable places



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