<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Search-Relevance on Agent Zone</title><link>https://agent-zone.ai/tags/search-relevance/</link><description>Recent content in Search-Relevance on Agent Zone</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://agent-zone.ai/tags/search-relevance/index.xml" rel="self" type="application/rss+xml"/><item><title>FTS5 vs Cloudflare Vectorize: A/B Results on When Keyword Beats Semantic Search</title><link>https://agent-zone.ai/knowledge/serverless/fts5-vs-vectorize-when-each-wins/</link><pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate><guid>https://agent-zone.ai/knowledge/serverless/fts5-vs-vectorize-when-each-wins/</guid><description>&lt;h1 id="fts5-vs-cloudflare-vectorize"&gt;FTS5 vs Cloudflare Vectorize&lt;a class="anchor" href="#fts5-vs-cloudflare-vectorize"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;The &amp;ldquo;FTS5 vs vectors&amp;rdquo; debate is usually hand-wavy. Both sides cite plausible reasons, neither runs the same queries through both engines on the same corpus, and the conclusion is whichever one the author shipped. With identical data and identical queries you can measure exactly where each wins.&lt;/p&gt;
&lt;p&gt;The result: FTS5 and Vectorize have non-overlapping strengths. The right answer for most knowledge-base workloads is &amp;ldquo;ship both&amp;rdquo; behind an opt-in flag — not pick one. This page is the measurements, the cost math, and the dual-engine pattern.&lt;/p&gt;</description></item></channel></rss>