<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>Creating a RAG-Powered Chatbot with Claude Code on Runpod</title>
        <link>https://peer.madiator.cloud/videos/watch/2d414379-53c6-4189-8be6-7050f1c8e264</link>
        <description>Questions about setting up a pod or installing Claude Code? Check out our previous video here: https://www.youtube.com/watch?v=6l952QdmDuM In this next series in the Claude Code series, we walk through using it to create a RAG-powered chatbot with Claude Code. Retrieval Augmented Generation (RAG) allows you to empower any model with additional knowledge that it wasn't trained on, allowing it to refer to that documentation to answer questions. This allows almost any LLM to act as a document retrieval powerhouse. 0:00 Intro 0:57 Downloading and installing vLLM 2:27 Hello World in vLLM 2:52 RAG explanation 3:50 Problem analysis and setting up RAG 5:24 Re-running RAG query 7:51 Outro</description>
        <lastBuildDate>Tue, 21 Jul 2026 20:55:34 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>PeerTube - https://peer.madiator.cloud</generator>
        <image>
            <title>Creating a RAG-Powered Chatbot with Claude Code on Runpod</title>
            <url>https://peer.madiator.cloud/lazy-static/avatars/e2927aea-9e0a-454c-9327-68ec87b4da11.png</url>
            <link>https://peer.madiator.cloud/videos/watch/2d414379-53c6-4189-8be6-7050f1c8e264</link>
        </image>
        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://peer.madiator.cloud/about and potential licenses granted by each content's rightholder.</copyright>
        <atom:link href="https://peer.madiator.cloud/feeds/video-comments.xml?videoId=2d414379-53c6-4189-8be6-7050f1c8e264" rel="self" type="application/rss+xml"/>
    </channel>
</rss>