🙌 From now on you can use Algolia Recommend from InstantSearch, simplifying your integration between the two libraries!

Learn how to migrate following the upgrade guide.

import {
  InstantSearch,
  FrequentlyBoughtTogether,
  RelatedProducts,
} from 'react-instantsearch';
import algoliasearch from 'algoliasearch/lite';
const searchClient = algoliasearch('YourApplicationID', 'YourSearchOnlyAPIKey');

function App() {
  return (
    <InstantSearch searchClient={searchClient} indexName={indexName}>
      <FrequentlyBoughtTogether objectIDs={[currentObjectID]} />
      <RelatedProducts objectIDs={[currentObjectID]} />
    </InstantSearch>
  );
}

@algolia/recommend-react

React package for Algolia Recommend.

Installation

All Recommend packages are available on the npm registry.

yarn add @algolia/recommend-react
# or
npm install @algolia/recommend-react

Usage

Import the FrequentlyBoughtTogether and RelatedProducts and use them in your parent component.

import React from 'react';
import {
  FrequentlyBoughtTogether,
  RelatedProducts,
} from '@algolia/recommend-react';
import recommend from '@algolia/recommend';

const recommendClient = recommend('YourApplicationID', 'YourSearchOnlyAPIKey');
const indexName = 'YOUR_INDEX_NAME';

function App({ currentObjectID }) {
  // ...

  return (
    <div>
      <FrequentlyBoughtTogether
        recommendClient={recommendClient}
        indexName={indexName}
        objectIDs={[currentObjectID]}
        itemComponent={({ item }) => {
          return (
            <pre>
              <code>{JSON.stringify(item)}</code>
            </pre>
          );
        }}
      />
      <RelatedProducts
        recommendClient={recommendClient}
        indexName={indexName}
        objectIDs={[currentObjectID]}
        itemComponent={({ item }) => {
          return (
            <pre>
              <code>{JSON.stringify(item)}</code>
            </pre>
          );
        }}
      />
    </div>
  );
}

Continue reading our Getting Started guide.

Documentation

The documentation offers a few ways to learn about the Recommend library:

• Follow the Building your Recommend UI guide to display recommendations on your website.
• Refer to the API reference for a comprehensive list of parameters and options.