[Fireship] Fulltext Search on Firebase with Meilisearch

Fireship – Fulltext Search on Firebase with Meilisearch [FCO]

 

About

A common issue that developers face with NoSQL databases (and SQL to a lesser extent) is a lack of full-text search capabilities. If you want to build a performant typeahead search box or handle multi-property filtering on a collection, you’ll find it frustratingly difficult to implement in Firestore – it’s just not the right database for the job. There are many good solutions, like Algolia and ElasticSearch, but they can be expensive and/or complex to manage. Today we’ll look at a super-fast Rust-based open-source search engine called MeiliSearch. We’ll use it to convert a Firestore collection into a fully searchable index (great for autocomplete search), then deploy it to a VM on Google Cloud.

 

Instructor(s)

Jeff Delaney is a Google Developer Expert and the creator of fireship.io. When not writing code, he is out seeking adventure with his wife and 3 boys.

 

Media Information:

MP4 | Video: h264, 1280x720p | Audio: AAC, 44.100 KHz, 2 Ch
Genre: eLearning | Language: English | Updated: April 14, 2024 | 1 Lessons Duration: ( 11m 18s )

Course Source: https://fireship.io/lessons/meilisearch-firebase-google-cloud/

 

Size: 34.8MB

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