<?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>Decision Table on Judy AI Lab</title>
    <link>https://judyailab.com/en/tags/decision-table/</link>
    <description>Recent content in Decision Table on Judy AI Lab</description>
    <image>
      <title>Judy AI Lab</title>
      <url>https://judyailab.com/logo.jpg</url>
      <link>https://judyailab.com/logo.jpg</link>
    </image>
    <generator>Hugo -- 0.147.4</generator>
    <language>en</language>
    <lastBuildDate>Sat, 25 Jul 2026 13:30:56 +0000</lastBuildDate>
    <atom:link href="https://judyailab.com/en/tags/decision-table/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Gemini 3.5 Pro 2M-Token Context: Paste It All In vs Build RAG - Which Should a One-Person Company Pick? (Decision Table &#43; Advanced Selection)</title>
      <link>https://judyailab.com/en/posts/gemini-3-5-pro-2m-context-vs-rag-paste-everything-test/</link>
      <pubDate>Mon, 20 Jul 2026 02:43:50 +0000</pubDate>
      <guid>https://judyailab.com/en/posts/gemini-3-5-pro-2m-context-vs-rag-paste-everything-test/</guid>
      <description>Gemini 3.5 Pro&amp;#39;s rumored 2M token context window makes &amp;#39;paste it all in&amp;#39; a real option for the first time. This article compares paste-in vs RAG across accuracy, latency, and cost, with a decision table and advanced selection guidance to help one-person companies and freelancers decide when to paste directly and when to build a retrieval system, avoiding duplicate fees and missed answers.</description>
    </item>
  </channel>
</rss>
