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core/org.llm4s/org.llm4s.agent/org.llm4s.agent.memory/VectorOps

VectorOps

org.llm4s.agent.memory.VectorOps
object VectorOps

Utilities for working with embedding vectors.

Attributes

Graph
Supertypes
class Object
trait Matchable
class Any
Self type
VectorOps.type

Members list

Value members

Concrete methods

def cosineSimilarity(a: Array[Float], b: Array[Float]): Double

Calculate cosine similarity between two vectors.

Calculate cosine similarity between two vectors.

Attributes

Returns

Similarity score between -1.0 and 1.0 (1.0 = identical)

def dotProduct(a: Array[Float], b: Array[Float]): Double

Calculate dot product of two vectors.

Calculate dot product of two vectors.

Attributes

def euclideanDistance(a: Array[Float], b: Array[Float]): Double

Calculate Euclidean distance between two vectors.

Calculate Euclidean distance between two vectors.

Attributes

Returns

Distance (0.0 = identical)

def normalize(v: Array[Float]): Array[Float]

Normalize a vector to unit length.

Normalize a vector to unit length.

Attributes

def topKBySimilarity[T](query: Array[Float], candidates: Seq[(Array[Float], T)], k: Int): Seq[(T, Double)]

Find the top-K most similar vectors to a query.

Find the top-K most similar vectors to a query.

Value parameters

candidates

List of candidate vectors with associated data

k

Number of results to return

query

The query vector

Attributes

Returns

Top-K candidates sorted by similarity (descending)

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