README

covectric

Covectric is a simple vector based search engine using cosine similarity and tf–idf methods for finding text similarity between documents.

Define "covectric"

Two documents are said to be covectric if they share at least one dimension (or term).

Install

> npm install covectric

Usage

//instantiate the model
var covectric = require('covectric');
var model = new covectric.Model();

//populate the vector space and weight tokens based on term frequency
var id = 1;
['hello','hi','hi there','hey','hi to you'].forEach(function(t) {
    model.upsertDocument(id++, t, t);
});
model.recomputeVectorBaseTokenWeights();

//search the vector space

var results = model.search("hi bob", 3);
console.log("Search Results:", results);