I Threw Away My ILIKE Queries and My Search Bar Finally Works - MeiliSearch
The author initially used PostgreSQL's ILIKE for search in a personal finance tracker but encountered performance and functionality issues. They evaluated various search engines and chose MeiliSearch for its ease of setup, typo tolerance, and developer experience. The article outlines a production-ready implementation using MeiliSearch with NestJS.
- ▪The author built a personal finance tracker using NestJS and PostgreSQL but faced limitations with ILIKE-based search.
- ▪MeiliSearch was selected over alternatives like Elasticsearch, Algolia, and Typesense due to its simplicity, speed, and MIT license.
- ▪MeiliSearch offers built-in typo tolerance, fast response times, and a lightweight Docker image, making it suitable for projects from side apps to production.
- ▪The author emphasizes using environment variables like MEILISEARCH_URL for consistent deployments across environments.
- ▪For simple search needs, PostgreSQL full-text search may suffice, but dedicated engines are better for advanced features like multi-index search and result highlighting.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 977467) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Subham Posted on May 1 I Threw Away My ILIKE Queries and My Search Bar Finally Works - MeiliSearch #rust #nextjs #node #nestjs 🔥Connect: https://xam-heisenberg-company.vercel.app/ 🔥GitHub: https://github.com/Subham-Maity 🔥Twitter: https://twitter.com/TheSubhamMaity 🔥LinkedIn: https://www.linkedin.com/in/subham-xam 🔥Insta: https://www.instagram.com/subham_xam MeiliSearch - The Complete Production Setup Guide (2026) How I Ended Up Down the Search Engine Rabbit Hole Okay so here's…
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