Package org.apache.lucene.search

Class FloatVectorSimilarityQuery

  • public class FloatVectorSimilarityQuery
extends Query
    Search for all (approximate) float vectors above a similarity threshold.
    WARNING: This API is experimental and might change in incompatible ways in the next release.

    • Field Detail

      • field

        protected final String field

      • traversalSimilarity

        protected final float traversalSimilarity

      • resultSimilarity

        protected final float resultSimilarity

      • filter

        protected final Query filter

    • Constructor Detail

      • FloatVectorSimilarityQuery

        public FloatVectorSimilarityQuery​(String field,
                                  float[] target,
                                  float traversalSimilarity,
                                  float resultSimilarity,
                                  Query filter)
        Search for all (approximate) float vectors above a similarity threshold using VectorSimilarityCollector. If a filter is applied, it traverses as many nodes as the cost of the filter, and then falls back to exact search if results are incomplete.
        Parameters:
        field - a field that has been indexed as a KnnFloatVectorField.
        target - the target of the search.
        traversalSimilarity - (lower) similarity score for graph traversal.
        resultSimilarity - (higher) similarity score for result collection.
        filter - a filter applied before the vector search.

      • FloatVectorSimilarityQuery

        public FloatVectorSimilarityQuery​(String field,
                                  float[] target,
                                  float traversalSimilarity,
                                  float resultSimilarity)
        Search for all (approximate) float vectors above a similarity threshold using VectorSimilarityCollector.
        Parameters:
        field - a field that has been indexed as a KnnFloatVectorField.
        target - the target of the search.
        traversalSimilarity - (lower) similarity score for graph traversal.
        resultSimilarity - (higher) similarity score for result collection.

      • FloatVectorSimilarityQuery

        public FloatVectorSimilarityQuery​(String field,
                                  float[] target,
                                  float resultSimilarity,
                                  Query filter)
        Search for all (approximate) float vectors above a similarity threshold using VectorSimilarityCollector. If a filter is applied, it traverses as many nodes as the cost of the filter, and then falls back to exact search if results are incomplete.
        Parameters:
        field - a field that has been indexed as a KnnFloatVectorField.
        target - the target of the search.
        resultSimilarity - similarity score for result collection.
        filter - a filter applied before the vector search.

      • FloatVectorSimilarityQuery

        public FloatVectorSimilarityQuery​(String field,
                                  float[] target,
                                  float resultSimilarity)
        Search for all (approximate) float vectors above a similarity threshold using VectorSimilarityCollector.
        Parameters:
        field - a field that has been indexed as a KnnFloatVectorField.
        target - the target of the search.
        resultSimilarity - similarity score for result collection.

    • Method Detail

      • toString

        public String toString​(String field)
        Description copied from class: Query
        Prints a query to a string, with field assumed to be the default field and omitted.
        Specified by:
        toString in class Query

      • equals

        public boolean equals​(Object o)
        Description copied from class: Query
        Override and implement query instance equivalence properly in a subclass. This is required so that QueryCache works properly.

        Typically a query will be equal to another only if it's an instance of the same class and its document-filtering properties are identical to those of the other instance. Utility methods are provided for certain repetitive code.

        See Also:
        Query.sameClassAs(Object), Query.classHash()

      • hashCode

        public int hashCode()
        Description copied from class: Query
        Override and implement query hash code properly in a subclass. This is required so that QueryCache works properly.
        See Also:
        Query.equals(Object)

      • createWeight

        public Weight createWeight​(IndexSearcher searcher,
                           ScoreMode scoreMode,
                           float boost)
                    throws IOException
        Description copied from class: Query
        Expert: Constructs an appropriate Weight implementation for this query.

        Only implemented by primitive queries, which re-write to themselves.

        Overrides:
        createWeight in class Query
        scoreMode - How the produced scorers will be consumed.
        boost - The boost that is propagated by the parent queries.
        Throws:
        IOException

      • visit

        public void visit​(QueryVisitor visitor)
        Description copied from class: Query
        Recurse through the query tree, visiting any child queries.
        Specified by:
        visit in class Query
        Parameters:
        visitor - a QueryVisitor to be called by each query in the tree