<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metadata on RawCull</title><link>https://techrawcull.netlify.app/tags/metadata/</link><description>Recent content in Metadata on RawCull</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 30 Jul 2026 08:19:52 +0200</lastBuildDate><atom:link href="https://techrawcull.netlify.app/tags/metadata/index.xml" rel="self" type="application/rss+xml"/><item><title>How RawCullCore Is Constructed</title><link>https://techrawcull.netlify.app/docs/packages/rawcullcore/</link><pubDate>Thu, 30 Jul 2026 00:00:00 +0000</pubDate><guid>https://techrawcull.netlify.app/docs/packages/rawcullcore/</guid><description>&lt;h1 id="how-rawcullcore-is-constructed"&gt;How RawCullCore Is Constructed&lt;a class="td-heading-self-link" href="#how-rawcullcore-is-constructed" aria-label="Heading self-link"&gt;&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;RawCullCore is the small domain layer at the center of RawCull. It does not
decode or analyze photos. Instead, it receives file metadata and measurements
already produced elsewhere, groups sequential files into bursts, and ranks the
candidates using deterministic culling rules.&lt;/p&gt;
&lt;p&gt;Its main architectural value is that a recommendation can be tested without
opening a RAW file, running Vision, creating a Metal context, loading
application settings, or constructing a view model.&lt;/p&gt;</description></item></channel></rss>