Created
September 25, 2025 11:56
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cosine similarity
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function cosineSimilarity(a: number[], b: number[]): number { | |
const dot = a.reduce((s, ai, i) => s + ai * (b[i] ?? 0), 0); | |
const na = Math.sqrt(a.reduce((s, ai) => s + ai * ai, 0)); | |
const nb = Math.sqrt(b.reduce((s, bi) => s + bi * bi, 0)); | |
return dot / (na * nb); | |
} | |
type Vec = { id: string; vector: number[] }; | |
const embeddings: Vec[] = [ | |
{ id: "1", vector: [0.1, 0.2, 0.3] }, | |
{ id: "2", vector: [0.2, 0.1, 0.4] }, | |
{ id: "3", vector: [0.9, 0.8, 0.1] }, | |
]; | |
const query = [0.2, 0.2, 0.3]; | |
const ranked = embeddings | |
.map((e) => ({ ...e, score: cosineSimilarity(query, e.vector) })) | |
.sort((a, b) => b.score - a.score); | |
console.log("ranked by cosine similarity:", ranked); |
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