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

Remote jobs and Work from Home Age: 30-50 Position: Translating Salary: €3,500 Time: 2-3 days (new project) Topics: Work from Home in all countries, Freelancing, Freelance Writing RemoteJobs Click on the link 🖇️ for more information https://t.me/olivia_alice52

How to receive a file in an n8n webhook workflow and define the correct OpenAI schema for it? I need the setup to accept files (e.g., PDFs) and pass them properly to ChatGPT for processing.

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?