Lucene99FlatVectorsReader

Reads vectors from the index segments.

Constructors

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constructor(state: SegmentReadState, scorer: FlatVectorsScorer)

Types

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object Companion

Properties

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Returns nested resources of this class. The result should be a point-in-time snapshot (to avoid race conditions).

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open override val mergeInstance: FlatVectorsReader

Returns an instance optimized for merging. This instance may only be consumed in the thread that called .getMergeInstance.

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Scorer for flat vectors

Functions

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open override fun checkIntegrity()

Checks consistency of this reader.

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open override fun close()
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open override fun finishMerge()

Optional: reset or close merge resources used in the reader

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open override fun getByteVectorValues(field: String): ByteVectorValues

Returns the ByteVectorValues for the given field. The behavior is undefined if the given field doesn't have KNN vectors enabled on its FieldInfo. The return value is never null.

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open override fun getFloatVectorValues(field: String): FloatVectorValues

Returns the FloatVectorValues for the given field. The behavior is undefined if the given field doesn't have KNN vectors enabled on its FieldInfo. The return value is never null.

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open override fun getRandomVectorScorer(field: String, target: ByteArray): RandomVectorScorer
open override fun getRandomVectorScorer(field: String, target: FloatArray): RandomVectorScorer

Returns a RandomVectorScorer for the given field and target vector.

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open override fun ramBytesUsed(): Long

Return the memory usage of this object in bytes. Negative values are illegal.

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open override fun search(field: String, target: ByteArray, knnCollector: KnnCollector, acceptDocs: Bits?)

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.

open override fun search(field: String, target: FloatArray, knnCollector: KnnCollector, acceptDocs: Bits?)