Sep 17 • Support Needed 💻
n8n + Pinecone workflow for MCQs — need advice on large text + logic
I built a workflow in n8n that generates MCQs based on data stored in Pinecone:
- Storing files in Pinecone – I had constant errors with large text until I fixed it with a manual splitting workflow. It works, but it’s messy and not dynamic.
- Creating MCQs – I upload a PDF → the AI retrieves examples of how MCQs look from Pinecone → then generates new MCQs in that style and emails them to me.
My two questions:
- Is there a better way to handle large text dynamically before pushing to Pinecone, instead of this fixed/manual method?
- Do you think this logic actually ensures the AI will generate high-quality MCQs based on the uploaded ones, or are there flaws in the approach?
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n8n + Pinecone workflow for MCQs — need advice on large text + logic
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