🎮 Blazingly fast Steam Games released from 2013 to 2023 search, powered by Typesense and Laravel

This is a demo that shows how you can use Typesense, along with Laravel, in order to build a search index using real data from a Postgres data store.

Tech Stack

The app was built using Laravel Sail, a lightweight CLI for Laravel development using Docker, Laravel Scout's Typesense module, and Inertia.js for building a React frontend with Typescript support, along with the Typesense Adapter for react-instantsearch.

Development

To run this project locally, check out the .env.example file for the environment variables you'll need to configure, install the dependencies and start the Docker images:

./vendor/bin/sail up

Then apply the migrations:

./vendor/bin/sail sail artisan migrate

And source the Database:

./scripts/sourcedb.sh

After which you'll need to index Typesense using Laravel Scout:

sail artisan scout:import "App\Models\Game"

And finally spin up your server instance:

./vendor/bin/sail yarn run dev

./vendor/bin/sail artisan serve

Open http://localhost to see the app.

For more information, please consult both the Typesense Documentation and Laravel Scout's Documentation as well.

Credits

The dataset used in this showcase is from Terenci Claramunt's (@terencicp) public dataset of Steam Games released from 2013 up to 2023 listed here: https://www.kaggle.com/datasets/terencicp/steam-games-december-2023