<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>RAG on 🦉 olshansky 🦁</title><link>https://olshansky.info/tags/rag/</link><description>Recent content in RAG on 🦉 olshansky 🦁</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 09 Jun 2026 09:58:49 -0400</lastBuildDate><atom:link href="https://olshansky.info/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Reading of Anthropic's Contextual Retrieval</title><link>https://olshansky.info/posts/2026-06-09-reading-of-anthropic-s-contextual-retrieval/</link><pubDate>Tue, 09 Jun 2026 09:58:49 -0400</pubDate><guid>https://olshansky.info/posts/2026-06-09-reading-of-anthropic-s-contextual-retrieval/</guid><description>&lt;h2 id="introduction---why-talk-about-rag-in-2026"&gt;Introduction - Why talk about RAG in 2026?&lt;/h2&gt;
&lt;p&gt;As we keep surfing the AI wave, one of the recurring topics of discussion is cost.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;re a frontier lab like OpenAI or Google, you scale up by building data centers and buying put options on energy.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;re a major company like Uber or Snowflake, you start by building &amp;ldquo;tokenmaxxing dashboards&amp;rdquo;, until you inevitably need to place guardrails on how much your employees spend; Uber is &lt;a href="https://ca.finance.yahoo.com/news/uber-caps-monthly-employee-ai-180609519.html"&gt;capping its engineers to $1,500 per month&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>