Showcase of using TypeSense search to search a ~2M recipe data set which is stored as structured data.
From the Github README:
This search experience is powered by Typesense which is a blazing-fast, open source typo-tolerant search-engine. It is an open source alternative to Algolia and an easier-to-use alternative to ElasticSearch.
The recipe dataset is from Glorf/recipenlg 🙏!
The dataset is 2.2 GB on disk, with ~2.2 million rows. It took 8 minutes to index this dataset on a 3-node Typesense cluster with 4vCPUs per node and the index was 2.7GB in RAM.
The app was built using the Typesense Adapter for InstantSearch.js and is hosted on S3, with CloudFront for a CDN.
The search backend is powered by a geo-distributed 3-node Typesense cluster running on Typesense Cloud, with nodes in Oregon, Frankfurt and Mumbai.