<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Full-Text Search on The Coders Blog</title><link>https://thecodersblog.com/tag/full-text-search/</link><description>Recent content in Full-Text Search on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 06 May 2026 22:01:09 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/full-text-search/index.xml" rel="self" type="application/rss+xml"/><item><title>PHP-fts: Building a Full-Text Search Engine in Pure PHP</title><link>https://thecodersblog.com/php-full-text-search-engine-2026/</link><pubDate>Wed, 06 May 2026 22:01:09 +0000</pubDate><guid>https://thecodersblog.com/php-full-text-search-engine-2026/</guid><description>&lt;p&gt;Ever found yourself wrestling with database &lt;code&gt;LIKE&lt;/code&gt; queries, desperately trying to simulate fuzzy matching or relevance scoring, only to end up with sluggish performance and brittle code? The dream of a truly powerful search integrated seamlessly into your PHP application without external infrastructure often feels just that: a dream. Until now.&lt;/p&gt;
&lt;h3 id="the-core-problem-native-search-vs-external-dependencies"&gt;The Core Problem: Native Search vs. External Dependencies&lt;/h3&gt;
&lt;p&gt;For many PHP developers, adding robust full-text search capabilities to a project presents a dilemma. On one hand, you have the well-established, high-performance solutions like Elasticsearch and Solr. These are formidable search engines, offering scalability, advanced relevance tuning, and a wealth of features. However, they demand dedicated infrastructure, complex setup, and ongoing maintenance—a significant overhead for many projects.&lt;/p&gt;</description></item></channel></rss>