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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WARP: An Efficient Engine for Multi-Vector Retrieval · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.17788/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2501.17788/feed.xml" rel="self" type="application/rss+xml" /><item><title>WARP: An Efficient Engine for Multi-Vector Retrieval — HN submission</title><link>https://news.ycombinator.com/item?id=47792166</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.17788:47792166</guid><pubDate>Thu, 16 Apr 2026 12:42:49 GMT</pubDate><description>&lt;p&gt;Show HN: Witchcraft and Pickbrain – fast multi-vector semantic search in Rust&lt;/p&gt;&lt;p&gt;Witchcraft is from-scratch Rust reimplementation of Stanford&amp;#x27;s XTR-Warp (SIGIR&amp;#x27;25, https://arxiv.org/abs/2501.17788 ) multi-vector semantic search engine. Witchcraft runs out of a single SQLite database, is blazing-fast (21ms p.95 end-to-end search latency on NFCorpus on a MacBook Pro), accurate (33% NDCG@10), and easy to deploy in your own apps. The Witchcraft repo also comes with Pickbrain, a sample app and agent skill that you can use to instantly query across all your Claude Code and Codex CLI sessions, effectively giving your agents global long-term memory. Please see the Github page for…&lt;/p&gt;&lt;p&gt;6 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.17788/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.IR</category></item></channel></rss>
