<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Infrastructure on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/ai-infrastructure/</link><description>Recent content in AI Infrastructure on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/ai-infrastructure/index.xml" rel="self" type="application/rss+xml"/><item><title>Vector Database</title><link>https://terms-en.ai-term-hub.com/en/terms/vector_database/</link><pubDate>Sat, 18 Jul 2026 09:37:52 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/vector_database/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Vector databases optimize the storage and retrieval of unstructured data by converting it into numerical embeddings. They use algorithms like Approximate Nearest Neighbor (ANN) to efficiently find similar items based on distance metrics. This technology is critical for AI applications requiring semantic search, recommendation engines, and similarity matching, enabling fast retrieval from massive datasets where traditional relational databases fail.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A specialized database designed to store, index, and query high-dimensional vectors representing data features.&lt;/p></description></item></channel></rss>