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Operations & Systems

Auto-Generate Exam Questions from Google Docs with Gemini

This workflow automates the creation of open-ended and multiple-choice exam questions from Google Docs content using AI analysis and a Qdrant vector database, then stores them in Google Sheets. It uses Google Gemini for question generation and RAG for answers.

Built · ~7.5 hours saved per week

Educators, trainers, or anyone needing to create exams from Google Docs content. This workflow pulls content from a Google Doc, converts it to Markdown, and then uses Google Gemini AI to generate two types of exam questions: open-ended and multiple-choice. It stores these questions, along with their answers, in Google Sheets. 1. Set up Qdrant API URL and collection name. 2. Define the Google Doc URL as input. 3. Configure Google Sheets to store the output questions. Google Docs, Google Sheets, Qdrant Vector Database, OpenAI API Key for Embeddings, Google Gemini API Key. Adjust the Google Doc ID, Qdrant collection name, and Google Sheet IDs. Customize the AI prompts for question generation to tailor difficulty or question types. Key Technologies: Google Docs,Qdrant Vector Database,OpenAI (Embeddings),Google Gemini (AI Chat Model),Google Sheets Automation Value: - Reduces manual effort in creating exam questions. - Ensures question generation directly from source material, improving relevance. - Provides both open-ended and multiple-choice questions for varied assessment types. - Stores generated questions in an organized Google Sheets format for easy access and management. - Speeds up the content creation process for educational assessments. Best Practices: - Regularly clear and refresh the Qdrant collection to ensure the AI processes the most current version of the source document. - Fine-tune the AI prompts for question generation to achieve different question complexities or styles. - Monitor the AI output for quality control and adjust chunk sizes and overlap for the Token Splitter if needed to optimize context for the AI. - Ensure API keys for OpenAI and Google Gemini are securely managed and have appropriate access permissions.

Tags: Leadership Automations, Operations Automations, Admin, Content Creation, AI Automation, Google

Integrations: Vector Store, HTTP, OpenAI, Code, Google Docs, Google Gemini, AI Agent, Google Sheets

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