Templates / Nested PDF analysis with Mistral AI & OneDrive for document summarization

Nested PDF analysis with Mistral AI & OneDrive for document summarization

Ready for 3.0

by Jordan Hoyle ✓ · 861 views · created 2025-10-24 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 41 nodes and runs on a schedule (every day). Along the way it connects Microsoft OneDrive and Mistral Cloud Chat Model.

How it runs

Trigger: On a schedule (every day).

  1. Search for Main Folder (Microsoft OneDrive): uses Microsoft OneDrive
  2. Get row(s) (Data table): uses Data table
  3. Get items in a folder (Microsoft OneDrive): uses Microsoft OneDrive
  4. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  5. If: checks a condition and branches into true / false
  6. Compare Datasets: uses Compare Datasets
  7. Set File ID (Edit Fields (Set)): sets or maps fields
  8. Merge: merges the data from its input branches
  9. Get items in a folder (Microsoft OneDrive): uses Microsoft OneDrive
  10. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches

…plus 27 more steps. See the full node list below.

Services it uses

Microsoft OneDriveMistral Cloud Chat Model

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (14)

From the author

Description Automate the discovery and analysis of PDF files across a deeply nested OneDrive folder structure. This workflow recursively searches folders, filters for new or updated PDFs, extracts text, and uses a Mistral AI agent to generate a concise…

Excerpt from Jordan Hoyle's description on n8n.io.

View the original on n8n.io → Check your own copy

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