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What problems might arise when you deploy a RAG chatbot built according to a tutorial in a real-world service? A cloud architect with 18 years of experience designing and operating multi-agent RAG chatbots for large-scale services explains the challenges encountered in practice—from declining search quality, irrelevant answers, and soaring costs to security incidents—and how to solve them.

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[Free Live] 5 Real-World Problems That Arise with RAG Chatbots in Production

<div id="jodit">
    <h2>A RAG chatbot built by following a tutorial—the real beginning is after you launch it.</h2>
    <p>A RAG chatbot can be built in a day. Add documents, ask a question, and you’ll get a plausible answer.</p>
    <p>But the moment you deploy it to a real service, everything changes. <strong>Answers that were correct yesterday are wrong today</strong>, users ask unexpected questions, and at the end of the month, a bill much larger than expected arrives. Some people can make the chatbot say things it should never say <strong>with nothing more than a conversation</strong>.</p>
    <p>This live session is led by a practicing cloud architect who designs and operates multi-agent RAG chatbots for large-scale services, and covers <strong>the challenges encountered in real-world operations that don&#39;t appear in demos and how to solve them</strong>.</p>
    <hr/>

    <h2>Recommended for these people</h2>
    <ul>
        <li>Those who have built a RAG chatbot but have never operated an actual service</li>
        <li>Developers and infrastructure personnel preparing to introduce or take charge of operating an in-house AI chatbot</li>
        <li>Those who want to know “what problems arise in operation” while planning and managing AI services</li>
        <li>Those who want to know about real-world practices beyond tutorials</li>
    </ul>
    <hr/>

    <h2>5 Problems Covered in the Live Session</h2>

    <h3>① The answer that was correct yesterday is wrong today</h3>
    <p>Why search quality deteriorates as documents change and accumulate, and how to prevent this through document management and search architecture</p>

    <h3>② Plausible but incorrect answers</h3>
    <p>Identify where hallucinations arise, show the evidence, and explain how to make the system answer that it doesn’t know when it doesn’t.</p>

    <h3>③ Costs and response delays that increase faster than expected</h3>
    <p>How costs grow with usage, where latency accumulates in multi-agent systems, and how to reduce it</p>

    <h3>④ Security Breaches Caused by Conversation Alone</h3>
    <p>Prompt manipulation, personal information exposure, and commitments not covered by regulations—real-world attack types and layers of defense</p>

    <h3>⑤ Operational monitoring that captures “Something seems off” in numbers</h3>
    <p>Metrics for detecting declines in response quality, methods for validating quality before deployment and rolling back when problems arise</p>
    <hr/>

    <h2>After listening to this live session,</h2>
    <ul>
        <li>When deploying a chatbot I built as a service, I’ll have a checklist of <strong>what to check first</strong>.</li>
        <li>When a problem occurs in production, you will have a better sense of <strong>where to look for the cause</strong>.</li>
        <li>You will gain grounds to explain to your team or manager <strong>why operational preparation is necessary</strong>.</li>
    </ul>
    <hr/>

    <h2>Format</h2>
    <ul>
        <li><strong>Date and time</strong>: November 11, 2026 (Wed), 8:00–9:30 PM</li>
        <li><strong>Format</strong>: 60-minute presentation + 30-minute Q&amp;A</li>
        <li><strong>Pre-submitted questions</strong>: If you leave questions about anything you’ve been stuck on beforehand, we’ll address them directly during the live session.</li>
        <li><strong>Recording</strong>: It will be provided to applicants after review.</li>
    </ul>
    <hr/>

    <h2>Instructor Introduction</h2>
    <p><strong>[Code Zero]</strong> | Current Cloud Architect</p>
    <ul>
      <li>Enterprise IT professional with over 15 years of experience</li>
      <li>Experience designing and operating RAG-based AI chatbots for large-scale services</li>
      <li>Practical Cloud Infrastructure Deployment, Assessment, and Operations</li>
      <li>Holds a professional engineer certification in the IT field and international information security certifications</li>
      <li>IT lectures and e-learning course content development for public institutions, financial institutions, and large enterprises</li>
    </ul>
    <hr/>

    <h2>Frequently Asked Questions</h2>
    <p><strong>Q. Can I take this course even if I don&#39;t know much about coding?</strong><br/>
        Yes. The course focuses on structure and operations rather than writing code. It&#39;s enough if you&#39;ve at least heard of RAG.</p>
    <p><strong>Q. Is the content limited to a specific cloud or tool?</strong><br/>
        No. It focuses on operational principles that can be applied regardless of which cloud or framework you use.</p>
    <p><strong>Q. Is there a cost?</strong><br/>
        It’s free.</p>
</div>

[Free Live] Real-World Case Study of Operating a RAG Chatbot

ViewContent.1793244818.344745.fa971c21-5d02-4723-9d60-fa9211afbf56

[Free Live] 5 Real-World Problems That Arise with RAG Chatbots in Production

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