Creates a new copy of this KnnVectorValues. This is helpful when you need to access different values at once, to avoid overwriting the underlying vector returned.

dimension

abstract fun dimension(): Int

Return the dimension of the vectors

getAcceptOrds

open fun getAcceptOrds(acceptDocs: Bits?): Bits?

Returns a Bits accepting docs accepted by the argument and having a vector value

getScoreCorrectionConstant

abstract fun getScoreCorrectionConstant(ord: Int): Float

iterator

open fun iterator(): KnnVectorValues.DocIndexIterator

Create an iterator for this instance.

ordToDoc

open fun ordToDoc(ord: Int): Int

Return the docid of the document indexed with the given vector ordinal. This default implementation returns the argument and is appropriate for dense values implementations where every doc has a single value.

scorer

open fun scorer(query: ByteArray): VectorScorer?

open fun scorer(query: FloatArray): VectorScorer?

Return a VectorScorer for the given query vector.

size

abstract fun size(): Int

Return the number of vectors for this field.

vectorValue

abstract fun vectorValue(ord: Int): ByteArray

Return the vector value for the given vector ordinal which must be in 0, size() - 1, otherwise IndexOutOfBoundsException is thrown. The returned array may be shared across calls.