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

Hi everyone, After running the paid community for several months, I've realized we're not delivering the level of value and engagement that you deserve for your membership fee. Rather than continue with something that isn't meeting our standards, we've decided to wind down the paid community. We're rebranding AI Automation Hub to "Luke's AI Skool" as a free space where we can continue sharing resources and insights without the pressure of paid expectations. This lets us focus our energy on creating better content for YouTube and providing value where we can do it best. One major change now, is that we've changed posting to start only from Level 2. That means to post on the page you have to comment a few times first. We'll also be actively moderating to keep discussions high-quality. Cheers, Luke

Hello, I hope you are doing well. How to integerate n8n with ChatGPT? I have n8n workflow which takes values in the forms. how can i create schema and other stuff?

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.