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Monday 05 October 2026 22:51:53 GMT
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In this video, I'll show you how to build a completely automated AI chatbot that can answer questions from large PDF documents within Slack, without writing a single line of code. Most people think creating a document-based Q&A system requires complex coding and multiple integrations, but I've created a no-code solution using Gumloop that handles everything automatically. What you'll learn: * Set up an AI-powered RAG (Retrieval Augmented Generation) system in Gumloop * Configure Slack to trigger automations with simple questions * Process and extract information from large PDF documents (39+ pages) * Build a similarity search function to retrieve relevant content * Format and deliver answers directly back to Slack I'll walk you through the full process, from setting up your Slack trigger to building the complete workflow in Gumloop. You'll see a real-time demo where the automation takes a question about a 39-page OpenAI research paper, identifies the relevant sections, and provides accurate answers based on the document's content—all from a single Slack message. This is perfect for teams working with large documents, research papers, or knowledge bases who need quick access to specific information. I'll guide you through it step by step, showing you exactly how to implement this time-saving automation for your workflow. 📌 Like and subscribe for more no-code AI automation tutorials. Let me know in the comments what kind of build-out you want to see next.
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