Package org.apache.lucene.search
Class KnnVectorQuery
java.lang.Object
org.apache.lucene.search.Query
org.apache.lucene.search.KnnVectorQuery
Uses
KnnVectorsReader.search(java.lang.String, float[], int, org.apache.lucene.util.Bits, int)
to perform nearest neighbour search.
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:
- If the filter cost is less than k, just execute an exact search
- Otherwise run a kNN search subject to the filter
- If the kNN search visits too many vectors without completing, stop and run an exact search
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Constructor Summary
ConstructorsConstructorDescriptionKnnVectorQuery
(String field, float[] target, int k) Find thek
nearest documents to the target vector according to the vectors in the given field.KnnVectorQuery
(String field, float[] target, int k, Query filter) Find thek
nearest documents to the target vector according to the vectors in the given field. -
Method Summary
Modifier and TypeMethodDescriptionboolean
Override and implement query instance equivalence properly in a subclass.protected TopDocs
exactSearch
(LeafReaderContext context, DocIdSetIterator acceptIterator) int
hashCode()
Override and implement query hash code properly in a subclass.rewrite
(IndexReader reader) Expert: called to re-write queries into primitive queries.Prints a query to a string, withfield
assumed to be the default field and omitted.void
visit
(QueryVisitor visitor) Recurse through the query tree, visiting any child queriesMethods inherited from class org.apache.lucene.search.Query
classHash, createWeight, sameClassAs, toString
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Constructor Details
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KnnVectorQuery
Find thek
nearest documents to the target vector according to the vectors in the given field.target
vector.- Parameters:
field
- a field that has been indexed as aKnnVectorField
.target
- the target of the searchk
- the number of documents to find- Throws:
IllegalArgumentException
- ifk
is less than 1
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KnnVectorQuery
Find thek
nearest documents to the target vector according to the vectors in the given field.target
vector.- Parameters:
field
- a field that has been indexed as aKnnVectorField
.target
- the target of the searchk
- the number of documents to findfilter
- a filter applied before the vector search- Throws:
IllegalArgumentException
- ifk
is less than 1
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Method Details
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rewrite
Description copied from class:Query
Expert: called to re-write queries into primitive queries. For example, a PrefixQuery will be rewritten into a BooleanQuery that consists of TermQuerys.- Overrides:
rewrite
in classQuery
- Throws:
IOException
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exactSearch
protected TopDocs exactSearch(LeafReaderContext context, DocIdSetIterator acceptIterator) throws IOException - Throws:
IOException
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toString
Description copied from class:Query
Prints a query to a string, withfield
assumed to be the default field and omitted. -
visit
Description copied from class:Query
Recurse through the query tree, visiting any child queries -
equals
Description copied from class:Query
Override and implement query instance equivalence properly in a subclass. This is required so thatQueryCache
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 that other instance. Utility methods are provided for certain repetitive code.
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hashCode
public int hashCode()Description copied from class:Query
Override and implement query hash code properly in a subclass. This is required so thatQueryCache
works properly.
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