Pulkitg64 commented on code in PR #16383: URL: https://github.com/apache/lucene/pull/16383#discussion_r3596111884
########## lucene/core/src/java/org/apache/lucene/search/KnnFloat16VectorQuery.java: ########## @@ -0,0 +1,165 @@ +/* + * 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 static org.apache.lucene.search.knn.KnnSearchStrategy.Hnsw.DEFAULT; + +import java.io.IOException; +import java.util.Arrays; +import org.apache.lucene.codecs.KnnVectorsReader; +import org.apache.lucene.document.KnnFloat16VectorField; +import org.apache.lucene.index.FieldInfo; +import org.apache.lucene.index.Float16VectorValues; +import org.apache.lucene.index.LeafReader; +import org.apache.lucene.index.LeafReaderContext; +import org.apache.lucene.search.knn.KnnCollectorManager; +import org.apache.lucene.search.knn.KnnSearchStrategy; +import org.apache.lucene.util.ArrayUtil; + +/** + * Uses {@link KnnVectorsReader#search(String, short[], KnnCollector, AcceptDocs)} to perform + * nearest neighbour search. + * + * <p>This query also allows for performing a kNN search subject to a filter. In this case, it first + * executes the filter for each leaf, then chooses a strategy dynamically: + * + * <ul> + * <li>If the filter cost is less than k, just execute an exact search + * <li>Otherwise run a kNN search subject to the filter + * <li>If the kNN search visits too many vectors without completing, stop and run an exact search + * </ul> + */ +public class KnnFloat16VectorQuery extends AbstractKnnVectorQuery { + + private static final TopDocs NO_RESULTS = TopDocsCollector.EMPTY_TOPDOCS; + + protected final short[] target; + + /** + * Find the <code>k</code> nearest documents to the target vector according to the vectors in the + * given field. <code>target</code> vector. + * + * @param field a field that has been indexed as a {@link KnnFloat16VectorField}. + * @param target the target of the search + * @param k the number of documents to find + * @throws IllegalArgumentException if <code>k</code> is less than 1 + */ + public KnnFloat16VectorQuery(String field, short[] target, int k) { + this(field, target, k, null); + } + + /** + * Find the <code>k</code> nearest documents to the target vector according to the vectors in the + * given field. <code>target</code> vector. + * + * @param field a field that has been indexed as a {@link KnnFloat16VectorField}. + * @param target the target of the search + * @param k the number of documents to find + * @param filter a filter applied before the vector search + * @throws IllegalArgumentException if <code>k</code> is less than 1 + */ + public KnnFloat16VectorQuery(String field, short[] target, int k, Query filter) { + this(field, target, k, filter, DEFAULT); + } + + /** + * Find the <code>k</code> nearest documents to the target vector according to the vectors in the + * given field. <code>target</code> vector. + * + * @param field a field that has been indexed as a {@link KnnFloat16VectorField}. + * @param target the target of the search + * @param k the number of documents to find + * @param filter a filter applied before the vector search + * @param searchStrategy the search strategy to use. If null, the default strategy will be used. + * The underlying format may not support all strategies and is free to ignore the requested + * strategy. + * @lucene.experimental + */ + public KnnFloat16VectorQuery( + String field, short[] target, int k, Query filter, KnnSearchStrategy searchStrategy) { + super(field, k, filter, searchStrategy); + this.target = target; Review Comment: Fixed in the next revision -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
