eliaporciani commented on code in PR #12253:
URL: https://github.com/apache/lucene/pull/12253#discussion_r1226796096


##########
lucene/queries/src/java/org/apache/lucene/queries/function/valuesource/KnnVectorFieldSource.java:
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@@ -0,0 +1,112 @@
+/*
+ * 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.queries.function.valuesource;
+
+import java.io.IOException;
+import java.util.Map;
+import org.apache.lucene.index.ByteVectorValues;
+import org.apache.lucene.index.FloatVectorValues;
+import org.apache.lucene.index.LeafReaderContext;
+import org.apache.lucene.queries.function.FunctionValues;
+import org.apache.lucene.queries.function.ValueSource;
+import org.apache.lucene.search.DocIdSetIterator;
+
+/** An implementation for retrieving {@link FunctionValues} instances for knn 
vectors fields. */
+public class KnnVectorFieldSource extends ValueSource {
+  private final String fieldName;
+
+  public KnnVectorFieldSource(String fieldName) {
+    this.fieldName = fieldName;
+  }
+
+  @Override
+  public FunctionValues getValues(Map<Object, Object> context, 
LeafReaderContext readerContext)
+      throws IOException {
+
+    final FloatVectorValues floatValues = 
readerContext.reader().getFloatVectorValues(fieldName);
+    final ByteVectorValues byteValues = 
readerContext.reader().getByteVectorValues(fieldName);
+
+    if (floatValues == null && byteValues == null) {
+      throw new IllegalArgumentException(
+          "no vector value is indexed for field '" + fieldName + "'");
+    }
+    return new FunctionValues() {
+      int lastDocID;
+
+      @Override
+      public float[] floatVectorVal(int doc) throws IOException {
+        float[] floatVector = null;
+        if (floatValues != null && exists(floatValues, doc)) {
+          floatVector = floatValues.vectorValue();
+        } else {
+          byte[] byteVector = byteVectorVal(doc);
+          if (byteVector != null) {
+            floatVector = new float[byteVector.length];
+            for (int i = 0; i < byteVector.length; i++) {
+              floatVector[i] = byteVector[i];
+            }
+          }
+        }
+        return floatVector;
+      }

Review Comment:
   As mentioned earlier, I appreciate your input, and I would like to further 
explain the rationale behind our attempt to abstract over the two encodings. I 
understand your concerns regarding quantization, and I agree that in the 
majority of cases, casting from byte to float may not be meaningful. However, 
it's important to note that the single API we proposed does not restrict users 
from utilizing the API appropriately in the case of quantization.
   
   Regarding code duplication, I think that it can be problematic. Currently, 
we have two encodings, but there may be a need to introduce additional 
encodings in the future. Duplicating the same code for each encoding increases 
the likelihood of errors in future contributions.
   
   I want to emphasize that I have not a strong opinion about which approach is 
the best. I acknowledge that there are advantages and disadvantages to both 
options. I am happy to revert the last commits and provide separate 
implementations for byte and float vectors.



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