How to Set Up Full-Text Search with Meilisearch 1.5 and Next.js 15 for Documentation
The article outlines how to implement fast, full-text search for documentation using Meilisearch 1.5 and Next.js 15, highlighting performance improvements, low latency, and cost efficiency. It provides a step-by-step guide for setting up hybrid keyword and vector search, indexing Markdown files, and integrating search via Next.js server actions. The solution supports typo tolerance, filtering, result highlighting, and incremental updates. A sample implementation is included for production-ready deployment.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 29 • Originally published at johal.in How to Set Up Full-Text Search with Meilisearch 1.5 and Next.js 15 for Documentation #fulltext #search #meilisearch #nextjs \n Documentation search is the silent killer of developer experience: 68% of users abandon docs sites that take more than 2 seconds to return search results, and 42% never return.
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