Nested PDF analysis with Mistral AI & OneDrive for document summarization
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 Mis...
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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 Executive Summary, Key Findings, and Structured Metadata (Date, Location, etc.), storing all insights into a n8n Data Table for easy access and further automation.
Key Features & How It Works Scheduled Trigger & Recursive Folder Search:
- The workflow runs automatically (scheduled for 8 PM in this template) to monitor a specified main folder on OneDrive.
- It performs a deep, multi-level search (up to 8 layers) across subfolders to ensure no documents are missed.
Smart Deduplication & Filtering:
- It checks new files against an internal n8n Data Table using the Compare Datasets node, ensuring only new or unique PDF files are processed, saving AI credits and processing time.
- A size check is also included, preventing attempts to process excessively large files.
- AI-Powered Document Intelligence (Mistral LLM):