AI-Powered Auto-Generate Exam Questions and Answers from Google Docs with Gemini

This workflow automates the creation of exam questions (both open-ended and multiple-choice) from educational content stored in Google Docs, using AI-powered analysis and vector database retrieval This workflow saves educators hours of manual work while ensuring high-quality, curriculum-aligned assessments. Let me know if you'd like help adapting it for specific subjects! Use Cases Educators: Rapidly generate quizzes, midterms, or flashcards. E-learning platforms: Automate question banks for courses. Corporate training: Create assessments for employee onboarding. Technical Requirements: APIs: Google Gemini, OpenAI, Qdrant, Google Workspace. n8n Nodes: LangChain, Google Sheets/Docs, HTTP requ

Help me set up the n8n workflow "AI-Powered Auto-Generate Exam Questions and Answers from Google Docs with Gemini" (https://n8n.io/workflows/4008). It uses: Google Sheets, HTTP Request, Google Docs, Code, AI Agent, Basic LLM Chain, Question and Answer Chain, Embeddings OpenAI, Item List Output Parser, Structured Output Parser, Vector Store Retriever, Token Splitter, Default Data Loader, Qdrant Vector Store, Google Gemini Chat Model, Vector Store Question Answer Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.