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Content Writing & Generation

Generate Exam Questions from Google Docs Content with Gemini and Sheets

Manually run to turn course material from Google Docs into open-ended and multiple-choice exam questions with Gemini, using vector retrieval for context and saving results to Google Sheets.

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What it does

## Auto-Generate Exam Questions from Google Docs with AI 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!

The steps

  1. When clicking ‘Test workflow’
  2. Qdrant Vector Store
  3. Create collection
  4. Refresh collection
  5. Embeddings OpenAI
  6. Default Data Loader
  7. Token Splitter
  8. Converto di MD
  9. Get Doc
  10. Vector Store Retriever
  11. Qdrant Vector Store1
  12. Convert to File
  13. Google Gemini Chat Model
  14. Item List Output Parser

32 steps in total.

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