PHP code example of jarir-ahmed / search

    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

    

jarir-ahmed / search example snippets

use JarirAhmed\Search\SearchManager;
use JarirAhmed\Search\Engines\InMemoryEngine;
use JarirAhmed\Search\Query;

$search = new SearchManager(new InMemoryEngine());

$search->bulk([
    '1' => ['title' => 'Blue Running Shoes', 'category' => 'footwear', 'price' => 80],
    '2' => ['title' => 'Red Leather Boots',  'category' => 'footwear', 'price' => 150],
]);

// Simple string search
$result = $search->search('blue');
$result->ids();        // ['1']
$result->total();      // 1
$result->documents();  // [['title' => 'Blue Running Shoes', ...]]

// Rich query: boosts, fuzziness, filter, sort, pagination
$result = $search->search(
    Query::create('runing')                 // typo
        ->fields(['title' => 2.0])
        ->fuzziness(1)                       // matches "running"
        ->filter('category', 'footwear')
        ->sortBy('price', 'asc')
        ->from(0)->size(20)
);

use JarirAhmed\Search\SearchManager;
use JarirAhmed\Search\Engines\ElasticsearchEngine;
use JarirAhmed\Search\Transport\CurlTransport;

$transport = new CurlTransport('http://localhost:9200', [
    'username' => 'elastic',
    'password' => 'changeme',
    // or 'apiKey' => '...'
    'timeout'  => 5,
]);

$search = new SearchManager(new ElasticsearchEngine($transport, 'products'));

$search->index('1', ['title' => 'Blue Running Shoes', 'category' => 'footwear']);
$result = $search->search(Query::create('blue')->fields(['title' => 2.0]));

new CurlTransport('https://APPID-dsn.algolia.net', ['headers' => [
    'X-Algolia-Application-Id: APPID',
    'X-Algolia-API-Key: KEY',
]]);                                   // Algolia
new CurlTransport('http://127.0.0.1:7700', ['headers' => ['Authorization: Bearer KEY']]);   // Meilisearch
new CurlTransport('http://127.0.0.1:8108', ['headers' => ['X-TYPESENSE-API-KEY: KEY']]);    // Typesense

use JarirAhmed\Search\Engines\DatabaseEngine;

$engine = new DatabaseEngine(new PDO('sqlite:search.db')); // or MySQL / Postgres
$engine->index('1', ['title' => 'Blue Shoes', 'category' => 'footwear']);
$hits = $engine->search(Query::create('blue')->filter('category', 'footwear'));

use JarirAhmed\Search\Engines\VectorEngine;

$engine = new VectorEngine(); // documents carry an "embedding" field
$engine->index('cat', ['label' => 'cat', 'embedding' => [1.0, 0.0, 0.0]]);
$engine->index('car', ['label' => 'car', 'embedding' => [0.0, 0.0, 1.0]]);

$result = $engine->search(Query::create('')->vector([0.95, 0.05, 0.0]));
$result->ids(); // ['cat', ...] ranked by similarity