Hi @Nadia Privalikhina & @Serop B , I have a client project using n8n and I need some advice on the RAG setup. The client has 12 large textbooks (PDFs). I need to build an automation where the AI generates course lessons, but it must use only specific books or chapters as the source material (not the whole library at once). I know that you will teach us about this in the upcoming course, but I just want to quickly understand it because I need it right now. My questions: 1. What is the best strategy to "chunk" or split these large files? Should I split them by chapter before uploading? 2. How do I set up the metadata so the AI knows which book is which? 3. Are there any specific tutorials or resources you recommend for building a "Textbook RAG" system in n8n? Thanks in advance!

We’ve officially wrapped up Week 2 of the cohort, and what an amazing week it has been! 🚀 So far, we dove deep into n8n fundamentals and explored two real-world use cases me and Nadia have already sold to clients: ✨ Automated Proposal Generation ✨ Email Auto-Responder Systems It was incredible to see the group applying these skills so quickly and creatively. You submitted your homework, tackled brainstorming tasks, and pushed yourselves to build practical automations that bring real value.👏 Huge congratulations to everyone who submitted their work on time and an equally big shoutout to those still working hard to learn n8n and integrate AI into their daily workflows. Your effort, curiosity, and consistency are what make this community special. Let’s keep the momentum going, Week 3, here we come! 💡

Hi @Serop B , I have a quick question. In our first office hours session, you suggested using the Error Trigger node to get notified whenever a client’s production workflow runs into an issue. I recorded a short video showing what I’m trying to do. Could you take a look and help me with this? Thanks! Issue : https://www.veed.io/view/40ff38f5-8915-44e9-8ce7-2bb2ac0c0c6f?source=editor&panel=share

Hi guys, we just created a crash course in n8n and posted it in the cohort under week one. There we covered some of the basic concepts of n8n which we noticed are a little bit challenging. Make sure to check it out, it's about 50 minutes long. So you find it: Classroom -> Week 1 -> Crash course. Enjoy

Here’s the context: I’ve designed an automation where, whenever a new file (audio or video) is dropped into a client’s “Contact Inbox” folder in Google Drive — the system: 1. Downloads the file 2. Sends it to OpenAI for transcription 3. Then analyzes the transcript The issue: Everything works perfectly for files under 25 MB, but OpenAI’s size limit causes the workflow to fail for anything larger. What’s the best approach to handle this workflow efficiently. especially for large video or audio files that exceed the 25 MB OpenAI limit? video walkthrough - https://www.veed.io/view/fd07e9f3-6934-4f48-bd97-c1bb9916244a?source=editor&panel=share Thanks in advance! – Ved