jtibshirani commented on code in PR #11756:
URL: https://github.com/apache/lucene/pull/11756#discussion_r966310331


##########
lucene/core/src/java/org/apache/lucene/search/VectorScorer.java:
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@@ -0,0 +1,104 @@
+/*
+ * 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.io.IOException;
+import org.apache.lucene.index.FieldInfo;
+import org.apache.lucene.index.LeafReaderContext;
+import org.apache.lucene.index.VectorSimilarityFunction;
+import org.apache.lucene.index.VectorValues;
+import org.apache.lucene.util.BytesRef;
+import org.apache.lucene.util.VectorUtil;
+
+/**
+ * Computes the similarity score between a given query vector and different 
document vectors. This
+ * is primarily used by {@link org.apache.lucene.search.KnnVectorQuery} to run 
an exact, exhaustive
+ * search over the vectors.
+ */
+abstract class VectorScorer {
+  protected final VectorValues values;
+
+  /**
+   * Create a new vector scorer instance.
+   *
+   * @param context the reader context
+   * @param fi the FieldInfo for the field containing document vectors
+   * @param query the query vector to compute the similarity for
+   */
+  static VectorScorer create(LeafReaderContext context, FieldInfo fi, float[] 
query)
+      throws IOException {
+    VectorValues values = context.reader().getVectorValues(fi.name);
+    VectorSimilarityFunction similarity = fi.getVectorSimilarityFunction();
+    return switch (fi.getVectorEncoding()) {
+      case BYTE -> new ByteVectorScorer(values, query, similarity);
+      case FLOAT32 -> new FloatVectorScorer(values, query, similarity);
+    };
+  }
+
+  VectorScorer(VectorValues values) {
+    this.values = values;
+  }
+
+  /**
+   * Advance the instance to the given document ID and return true if there is 
a value for that
+   * document.
+   */
+  public boolean advanceExact(int doc) throws IOException {
+    int vectorDoc = values.docID();
+    if (vectorDoc < doc) {
+      vectorDoc = values.advance(doc);
+    }
+    return vectorDoc == doc;
+  }
+
+  /** Compute the similarity score for the current document. */
+  abstract float score() throws IOException;
+
+  private static class ByteVectorScorer extends VectorScorer {
+    private final BytesRef query;
+    private final VectorSimilarityFunction similarity;

Review Comment:
   👍 



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