Package org.apache.lucene.codecs
Class KnnVectorsReader
- java.lang.Object
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- org.apache.lucene.codecs.KnnVectorsReader
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- All Implemented Interfaces:
Closeable,AutoCloseable,Accountable
- Direct Known Subclasses:
Lucene90HnswVectorsReader,PerFieldKnnVectorsFormat.FieldsReader
public abstract class KnnVectorsReader extends Object implements Closeable, Accountable
Reads vectors from an index.
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Field Summary
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Fields inherited from interface org.apache.lucene.util.Accountable
NULL_ACCOUNTABLE
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Constructor Summary
Constructors Modifier Constructor Description protectedKnnVectorsReader()Sole constructor
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description abstract voidcheckIntegrity()Checks consistency of this reader.KnnVectorsReadergetMergeInstance()Returns an instance optimized for merging.abstract VectorValuesgetVectorValues(String field)Returns theVectorValuesfor the givenfieldabstract TopDocssearch(String field, float[] target, int k, Bits acceptDocs)Return the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function.-
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.apache.lucene.util.Accountable
getChildResources, ramBytesUsed
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Method Detail
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checkIntegrity
public abstract void checkIntegrity() throws IOExceptionChecks consistency of this reader.Note that this may be costly in terms of I/O, e.g. may involve computing a checksum value against large data files.
- Throws:
IOException- NOTE: This API is for internal purposes only and might change in incompatible ways in the next release.
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getVectorValues
public abstract VectorValues getVectorValues(String field) throws IOException
Returns theVectorValuesfor the givenfield- Throws:
IOException
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search
public abstract TopDocs search(String field, float[] target, int k, Bits acceptDocs) throws IOException
Return the k nearest neighbor documents as determined by comparison of their vector values for this field, to the given vector, by the field's similarity function. The score of each document is derived from the vector similarity in a way that ensures scores are positive and that a larger score corresponds to a higher ranking.The search is allowed to be approximate, meaning the results are not guaranteed to be the true k closest neighbors. For large values of k (for example when k is close to the total number of documents), the search may also retrieve fewer than k documents.
- Parameters:
field- the vector field to searchtarget- the vector-valued queryk- the number of docs to returnacceptDocs-Bitsthat represents the allowed documents to match, ornullif they are all allowed to match.- Returns:
- the k nearest neighbor documents, along with their (searchStrategy-specific) scores.
- Throws:
IOException
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getMergeInstance
public KnnVectorsReader getMergeInstance()
Returns an instance optimized for merging. This instance may only be consumed in the thread that calledgetMergeInstance().The default implementation returns
this
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