embeddings-base/ai.koog.embeddings.base/Vector

Vector

@Serializable

data class Vector(val values: List<Double>)(source)

Represents a vector of floating-point values. Used for storing embeddings of text.

Constructors

Vector

constructor(values: List<Double>)

Properties

dimension

val dimension: Int

Returns the dimension (size) of the vector.

values

val values: List<Double>

The floating-point values that make up the vector.

Functions

cosineSimilarity

fun cosineSimilarity(other: Vector): Double

Calculates the cosine similarity between this vector and another vector. The result is a value between -1 and 1, where 1 means the vectors are identical, 0 means they are orthogonal, and -1 means they are completely opposite.

dotProduct

infix fun dotProduct(other: Vector): Double

Calculates the dot product of this vector and the given vector. The dot product is the sum of the products of the corresponding elements of the two vectors.

euclideanDistance

fun euclideanDistance(other: Vector): Double

Calculates the Euclidean distance between this vector and another vector. The result is a non-negative value, where 0 means the vectors are identical.

isNull

fun isNull(): Boolean

Checks if the vector is a null vector, i.e., all its components are equal to 0.0.

magnitude

fun magnitude(): Double

Computes the magnitude (Euclidean norm) of the vector. The magnitude is calculated as the square root of the sum of the squares of the vector's elements.