An app showing Typesense Search in action on a 2M recipe database Saturday, Dec 12, 2020
GitHUB SOURCE : https://github.com/typesense/showcase-recipe-search/
🍳 Recipe Search, powered by Typesense
This is a demo that showcases some of Typesense’s features using a 2 Million database of recipes.
View it live here: recipe-search.typesense.org
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.
index.html- contain the frontend UI components, built with Typesense Adapter for InstantSearch.js
scripts/indexer- contains the script to index the recipe data into Typesense.
scripts/data- contains a 1K sample subset of the recipes database. But you can download the full dataset from the link above.
To run this project locally, install the dependencies and run the local server:
yarn bundle # JSON parsing takes a while to run using JS when indexing, so we're using Ruby just for indexing yarn run typesenseServer ln -s .env.development .env BATCH_SIZE=1000 yarn run indexer:transformDataset # This will output a JSONL file yarn run indexer:importToTypesense # This will import the JSONL file into Typesense yarn start
Open http://localhost:3000 to see the app.
The app is hosted on S3, with Cloudfront for a CDN.
yarn build yarn deploy aws s3
Article Title: An app showing Typesense Search in action on a 2M recipe database
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