Automated Document Ingestion and Q&A Workflow

This n8n workflow automates the process of ingesting documents, indexing them in a vector database, and enabling advanced question-answering. It begins by monitoring Google Drive for new files, processes the content through text splitting, embedding, and storage in Qdrant. When a question is asked, it retrieves relevant information from the vector store, processes it with a language model, and provides accurate, context-aware answers. This setup is ideal for creating intelligent document-based chatbots, knowledge bases, or content management systems that require dynamic information retrieval and QA capabilities.