similarity

package

v0.21.1 Latest Latest Go to latest Published: Aug 25, 2026 License: MIT Imports: 13 Imported by: 0

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Valid go.mod file
Redistributable license
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Repository

github.com/paularlott/scriptling

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Documentation ¶

Index ¶

Constants
Variables
func CosineSimilarity(a, b []float64) (float64, error)
func Register(registrar interface{ ... })
func ToFloat64Slice(obj object.Object) ([]float64, error)
func VectorFromText(text string, dims int) []float64
type ScoredVector
- func MostSimilar(query []float64, vectors [][]float64, topK int) []ScoredVector

Constants ¶

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const (
	LibraryName = "scriptling.similarity"
	LibraryDesc = "String matching and similarity utilities including fuzzy search and MinHash"
)

Variables ¶

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var (
	ErrDimensionMismatch = errors.New("vectors must have the same length")
	ErrEmptyVector       = errors.New("vectors must not be empty")
)

Functions ¶

func CosineSimilarity ¶ added in v0.17.0

func CosineSimilarity(a, b []float64) (float64, error)

CosineSimilarity computes the cosine of the angle between two vectors. Returns 0.0 if either vector has zero magnitude.

func Register ¶

func Register(registrar interface{ RegisterLibrary(*object.Library) })

Register registers the similarity library with the given registrar.

func ToFloat64Slice ¶ added in v0.17.0

func ToFloat64Slice(obj object.Object) ([]float64, error)

ToFloat64Slice converts a scriptling Object (FloatArray or List of numbers) to a []float64. Shared by ai and similarity libraries.

func VectorFromText ¶ added in v0.17.0

func VectorFromText(text string, dims int) []float64

VectorFromText produces a fixed-dimensional vector from text using the feature-hashing trick (the "hashing trick"). Each token is mapped to a dimension via FNV-1a and contributes +1 or −1 based on a sign hash. The resulting vector is L2-normalised so it can be compared directly with CosineSimilarity. This is a fast, deterministic, CPU-only method that captures lexical overlap — similar texts produce similar vectors.

Types ¶

type ScoredVector ¶ added in v0.17.0

type ScoredVector struct {
	Index int
	Score float64
}

ScoredVector is a ranked result from MostSimilar.

func MostSimilar ¶ added in v0.17.0

func MostSimilar(query []float64, vectors [][]float64, topK int) []ScoredVector

MostSimilar ranks vectors by cosine similarity to query, returning the top-k results sorted by descending score. If topK <= 0 all results are returned.

Source Files ¶

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