hnsw-lite/dist/utils/calculateCosineSimilarity.js

A lightweight HNSW implementation for nearest neighbor search.

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.calculateCosineSimilarity = void 0;
const calculateCosineSimilarity = (v1, v2) => {
    if (v1.length !== v2.length) {
        throw new Error("Vectors must have the same length.");
    }
    let dotProduct = 0;
    let magnitudeV1 = 0;
    let magnitudeV2 = 0;
    for (let i = 0; i < v1.length; i++) {
        dotProduct += v1[i] * v2[i];
        magnitudeV1 += v1[i] * v1[i];
        magnitudeV2 += v2[i] * v2[i];
    }
    const denominator = Math.sqrt(magnitudeV1) * Math.sqrt(magnitudeV2);
    if (denominator === 0) {
        throw new Error("One of the vectors has zero magnitude.");
    }
    return dotProduct / denominator; // Returns value between -1 and 1
};
exports.calculateCosineSimilarity = calculateCosineSimilarity;
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