Knowledge Base Chatbot: Google Drive + GPT-4o Vector Search

This n8n workflow automates the creation of an intelligent knowledge base chatbot. It monitors a Google Drive folder for new or updated documents (PDFs, text files), processes them by intelligently chunking content, generates vector embeddings with OpenAI models, and stores them in a vector database for semantic search. When users send queries via webhook, the workflow retrieves relevant document chunks, maintains conversation history, and generates grounded responses using GPT-4o, ensuring answers are based solely on your documents to minimize hallucinations.

Key benefits include real-time document syncing, scalable knowledge management, and seamless integration with any chat platform via HTTP requests. It's ideal for customer support, internal FAQs, sales enablement (e.g., Venio/Salesbear), and documentation systems, saving hours of manual Q&A while providing precise, source-cited answers.

Use cases: Deploy as a support bot for your docs, create an internal wiki assistant, or power sales playbooks with instant retrieval. Requires Google Drive OAuth and OpenAI API; supports multi-turn conversations for natural interactions.