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📌 Welcome! Here is how to get the template.
✅ Copy the full title of the YouTube video and paste it into the search bar above ⬆️. You can download the template in the first post that appears. ✅ Or check the pinned posts of the latest YouTube videos. Enjoy building!
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Build a FREE RAG AI Agent with n8n & MongoDB | 2026
Grab the free template from the attached file down below 👇 In this video, I will show you the easiest way to make a RAG AI agent using n8n for free. This automation allows you to chat with an AI agent that generates responses based on files you feed into a knowledge base integrated with MongoDB. We will build a system that can process PDFs and CSVs from Google Drive, embed the data using Gemini, and store it for retrieval. 💡What you'll learn ✅ How to build a custom AI agent in n8n that answers questions using your own knowledge base. ✅ Learn how to set up MongoDB Atlas as a free vector database to store chat memory and document embeddings. ✅ Discover how to configure Vector Search in MongoDB to perform semantic searches on your data. ✅ How to build an automated pipeline that downloads files from Google Drive and inserts them into your database automatically. ✅ How to verify and test your RAG agent with real-world files like inventory spreadsheets and financial PDFs. ✅ How to get MongoDB Credentials for n8n ✅ How to set up vector search in MongoDB This tutorial guides you through the entire process of creating a Retrieval-Augmented Generation (RAG) system without writing code. You will learn how to use the "Vector Store" tool to let the AI retrieve information and how to handle different file formats by parsing text and turning it into numbers (embeddings). By the end, you'll be able to ask your AI complex questions about your specific business data and get accurate answers. Book a free Consultation: 🔗 https://cal.com/genovaflow-ai/discovery-call Let us build your project: 🔗 https://genovaflow.com/home/contact 14‑day FREE Trial on n8n: 🔗 https://n8n.partnerlinks.io/ox7johicleqv Got questions about the video? Drop them in the comments below ⬇️ Sponsorship: 📧 [email protected]
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n8n Localhost to Public URL (FREE & No Domain) | 2026
Grab the free Document and the commands to run from the attached file down below 👇 If Cloudflare tunnels are giving you trouble, this video reveals a better, free way to expose your local n8n instance to the public web using Tailscale Funnel. This guide covers everything from installation to fixing your Webhook URLs and automating your workflow startup with a single click. 💡What you'll learn ✅ How to install and configure Tailscale to expose your localhost without a domain ✅ Learn how to turn your n8n localhost into a secure, shareable public URL without hosting or buying a domain. ✅ Discover how to integrate n8n with apps like Telegram, Google Sheets, Gmail, and more, all from your local machine. ✅ How to run the Tailscale Funnel command to make port 5678 public ✅ How to authenticate and enable the funnel via the Tailscale admin console ✅ How to fix the Webhook URL issue in the n8n npm version using a .env file ✅ How to create a one click batch script to launch n8n and Tailscale simultaneously This tutorial shows you exactly how to expose your n8n localhost to the internet so other apps can connect to it successfully. If your workflows are failing because your app requires a valid public URL instead of a localhost address, this guide fixes that problem step by step. By the end, you’ll be able to integrate n8n with services like Telegram, Google Sheets, Gmail, and many others without errors, hosting or a domain for FREE. Book a free Consultation: 🔗 https://cal.com/genovaflow-ai/discovery-call Let us build your project: 🔗 https://genovaflow.com/home/contact 14‑day FREE Trial on n8n: 🔗 https://n8n.partnerlinks.io/ox7johicleqv Got questions about the video? Drop them in the comments below ⬇️ Sponsorship: 📧 [email protected]
Why Most Businesses Don’t Realize How Much Time They’re Losing
Today I was reviewing a workflow I built months ago, and it reminded me of something important. Most businesses don’t feel inefficiency. They feel busy. Small delays. Repeated steps. Switching between tools all day. It doesn’t look broken, so it never gets fixed. In one recent automation, I didn’t replace any tools. I simply connected what was already there. Data started moving on its own. Tasks triggered without reminders. Updates happened instantly across systems. The client told me their day felt quieter. Same workload. Less effort. That’s what good automation does. It doesn’t add complexity. It removes it. Sometimes the biggest upgrade is making things work the way they should have all along.
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