AI-Powered Question Answering with PDF Knowledge Base

This n8n workflow creates an intelligent question-answering system that integrates with a WordPress site or other platforms to provide accurate responses using a knowledge base of PDFs. It starts with a chat interface that receives user questions, then utilizes a Retrieval-Augmented Generation (RAG) architecture to fetch relevant information from stored documents. Key nodes include a chat trigger, a PDF download and extraction process, vector embeddings for knowledge retrieval, and a reranker to improve search results. The workflow leverages services like Google Drive, OpenAI, and a Supabase vector database to provide a seamless, dynamic Q&A experience. This setup is ideal for organizations seeking to automate customer support, internal knowledge sharing, or educational FAQs based on large document repositories.