Automate Exam Question Generation from Google Docs with AI & Qdrant

Streamline your content preparation for educational assessments with this robust n8n workflow. Designed for educators, trainers, and content creators, this automation takes your raw Google Docs content, converts it into structured Markdown, and then processes it using OpenAI's advanced embeddings. The resulting semantic vectors are efficiently stored in a Qdrant vector database, creating a rich, retrievable knowledge base. This foundational setup is ideal for subsequent Retrieval Augmented Generation (RAG) processes, enabling a Large Language Model (LLM) to accurately generate diverse exam questions directly from your source material. Say goodbye to manual content parsing and hello to intelligent, automated question-making.