<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Avatar on Neat Guy Coding</title><link>https://neatguycoding.com/tags/avatar/</link><description>Recent content in Avatar on Neat Guy Coding</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 NeatGuyCoding</copyright><lastBuildDate>Mon, 18 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://neatguycoding.com/tags/avatar/index.xml" rel="self" type="application/rss+xml"/><item><title>Agents on Semi-Structured Retrieval: STaRK Benchmark and AvaTaR Optimization</title><link>https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/</guid><description>Stanford&amp;rsquo;s STaRK benchmark and AvaTaR contrastive optimization for retrieval agents on semi-structured knowledge bases—metrics, multi-vector limits, when agents lose to dense retrievers, and what to ship in production.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://neatguycoding.com/posts/2026-05-18-weaviate-podcast-optimizing-retrieval-agents-with-shirley-wu-weaviate-podcast-115/cover.png"/></item></channel></rss>