<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vector Similarity on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/vector-similarity/</link><description>Recent content in Vector Similarity on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 08 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/vector-similarity/index.xml" rel="self" type="application/rss+xml"/><item><title>Core Concepts of Semantic Caching</title><link>https://ai-blog.noorshomelab.dev/redis-langcache-guide/core-concepts-of-semantic-caching/</link><pubDate>Sat, 08 Nov 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/redis-langcache-guide/core-concepts-of-semantic-caching/</guid><description>&lt;h2 id="2-core-concepts-of-semantic-caching"&gt;2. Core Concepts of Semantic Caching&lt;/h2&gt;
&lt;p&gt;To effectively use Redis LangCache, it&amp;rsquo;s essential to understand the underlying principles of semantic caching. This chapter will break down these core concepts, providing detailed explanations and practical examples.&lt;/p&gt;
&lt;h3 id="21-what-is-semantic-caching"&gt;2.1 What is Semantic Caching?&lt;/h3&gt;
&lt;p&gt;Traditional caching works by storing and retrieving data based on exact matches. If you query &amp;ldquo;What is the capital of France?&amp;rdquo;, a traditional cache would only return a stored value if the &lt;em&gt;exact string&lt;/em&gt; &amp;ldquo;What is the capital of France?&amp;rdquo; was previously cached.&lt;/p&gt;</description></item></channel></rss>