AI-Powered Exam Questions & Answers from Google Docs with Gemini

This workflow revolutionizes exam preparation by automatically creating high-quality exam questions and answers from educational content in Google Docs. Leveraging Google Gemini AI combined with Retrieval-Augmented Generation (RAG) and a Qdrant vector database, it analyzes documents to produce both open-ended questions for critical thinking and multiple-choice quizzes, ensuring answers are grounded in the source material to minimize hallucinations.

Key benefits include full automation from ingestion to formatted output in Google Sheets, saving educators hours of manual work. It's scalable for any subject, supports comprehension beyond rote recall, and integrates seamlessly with Google Workspace. Modular design allows customization for different question types, LLMs, or storage systems.

Ideal use cases: educators generating quizzes or midterms, e-learning platforms building question banks, and corporate training for onboarding assessments. Requires APIs for Gemini, OpenAI, Qdrant, and Google services, using n8n nodes like LangChain, Google Docs/Sheets, HTTP requests, and code blocks.