<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Vector Search Course on Qdrant - Vector Search Engine</title><link>https://deploy-preview-2256--condescending-goldwasser-91acf0.netlify.app/course/multi-vector-search/</link><description>Recent content in Multi-Vector Search Course on Qdrant - Vector Search Engine</description><generator>Hugo</generator><language>en-us</language><managingEditor>info@qdrant.tech (Andrey Vasnetsov)</managingEditor><webMaster>info@qdrant.tech (Andrey Vasnetsov)</webMaster><atom:link href="https://deploy-preview-2256--condescending-goldwasser-91acf0.netlify.app/course/multi-vector-search/index.xml" rel="self" type="application/rss+xml"/><item><title>Qdrant Multi-Vector Certification</title><link>https://deploy-preview-2256--condescending-goldwasser-91acf0.netlify.app/course/multi-vector-search/certification/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><author>info@qdrant.tech (Andrey Vasnetsov)</author><guid>https://deploy-preview-2256--condescending-goldwasser-91acf0.netlify.app/course/multi-vector-search/certification/</guid><description>&lt;h1 id="qdrant-multi-vector-search-certification">Qdrant Multi-Vector Search Certification&lt;/h1>
&lt;p>Congratulations! You’ve completed the &lt;strong>Multi-Vector Search course&lt;/strong>. You didn’t just learn how to store vectors; you learned how to build high-performance retrieval systems using late interaction models and multi-vector representations.&lt;/p>
&lt;p>You’ve moved past single-vector embeddings and dove deep into ColBERT, ColPali, MaxSim scoring, MUVERA, and production-grade multi-vector pipelines. That effort deserves more than just a “finished” status. It deserves professional recognition!&lt;/p>
&lt;h2 id="get-qdrantcertified">Get #QdrantCertified&lt;/h2>
&lt;p>Your expertise is now production-ready. It’s time to validate those skills with our official certification.&lt;/p></description></item></channel></rss>