<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>LangChain Tutorial (JS) #3: Output Parsers</title>
        <link>https://tube.grossholtz.net/videos/watch/361e3ae6-184b-4151-9c75-19cbafd44b3b</link>
        <description>#openai #langchain #langchainjs We can convert the AI-responses into complex structures, like CSV, JSON, Arrays and much more using LangChain Output Parsers. ☕ Buy me a coffee: https://www.buymeacoffee.com/leonvanzyl 📑 Useful Links: Langchain JS docs: https://js.langchain.com/docs/get_started/introduction Source Code: https://github.com/leonvanzyl/langchain-js OpenAI: https://platform.openai.com 💬 Chat with Like-Minded Individuals on Discord: https://discord.gg/VwHZzbNawh 🧠 I can build your chatbots for you! https://www.cognaitiv.ai 🕒 TIMESTAMPS: 00:00 - Introduction to Output Parsers 00:52 - Project Setup 01:14 - Output Parser Types 02:00 - String Output Parser 02:38 - Quick note on LCEL 03:11 - List Output Parser 03:21 - Refactor Code 06:45 - Structured Output Parser 11:25 - Zod Stuctured Output Parser</description>
        <lastBuildDate>Mon, 06 Apr 2026 05:09:17 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>PeerTube - https://tube.grossholtz.net</generator>
        <image>
            <title>LangChain Tutorial (JS) #3: Output Parsers</title>
            <url>https://tube.grossholtz.net/client/assets/images/icons/icon-512x512.png</url>
            <link>https://tube.grossholtz.net/videos/watch/361e3ae6-184b-4151-9c75-19cbafd44b3b</link>
        </image>
        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://tube.grossholtz.net/about and potential licenses granted by each content's rightholder.</copyright>
        <atom:link href="https://tube.grossholtz.net/feeds/video-comments.xml?videoId=361e3ae6-184b-4151-9c75-19cbafd44b3b" rel="self" type="application/rss+xml"/>
    </channel>
</rss>