Build a RAG Agent with n8n, Qdrant & OpenAI

About

This template helps you to create an intelligent document assistant that can answer questions from uploaded files. It shows a complete single-vector RAG (Retrieval-Augmented Generation) system that automatically processes documents, lets you chat with it in natural language and provides accurate, source-cited responses. The workflow consists of two parts: the data loading pipeline and RAG AI Agent that answers your questions based on the uploaded documents. To test tis workflow, you can use