Automated PDF Query and Citation with Chatbot in n8n

This workflow enables users to upload a document (e.g., a PDF), process its content for natural language queries, and retrieve relevant answers with source citations. Designed for knowledge extraction, it allows users to ask questions about a document and get detailed, sourced responses. The process involves downloading a file from Google Drive, splitting it into chunks, creating vector embeddings which are stored in Pinecone, and then using these embeddings to answer user queries via OpenAI’s language models. The workflow integrates multiple nodes including Google Drive for file access, Langchain for text chunking and embedding, Pinecone for vector storage, and OpenAI for conversational AI. The use cases include research assistance, document analysis, and knowledge management, making complex information accessible through conversational queries.