In this video, we'll show you how I built an AI Agent that follows up every lead instantly Workflow: 1. The moment someone submits a form, this AI Agent sends a personalized email. 2. Follows up on WhatsApp if there’s no reply. 3. And even sends an SMS as a final touchpoint—all automatically. No missed opportunities. No manual follow-ups. Just consistent, instant communication that converts more leads into paying clients. If you’ve ever struggled with inconsistent lead responses, this automation will change the way you handle sales forever. Here is the detailed video demo: https://youtu.be/CSyDlyvow68 And that's not all! We’ve also added the blueprint for this automation in the classroom. Thanks for supporting the community.

I want to build a RAG workflow in n8n that can extract answers from documents and return the document itself, while highlighting the relevant part or providing the page number, paragraph, or excerpt where the information was found. Does anyone have a tutorial, example, or workflow for this?

I want to create an agent that can extract plain text from about 100 PDF documents, save the data in a knowledge base database (KB DB), and keep references to the original files. Users should be able to chat with the bot, ask questions about the documents, and receive answers that include links back to the source PDFs. Document Storage: Dropbox AI Model: OpenAI

Can anybody help or create a tutorial on integrating an MCP server trigger in n8n with the ChatGPT UI? I’ve successfully connected the MCP server trigger to the OpenAI platform, but when I try to use it as a connector in ChatGPT, it shows that it’s not supported.