Automated Document Processing & Content Generation Workflow

This advanced n8n workflow streamlines the management, analysis, and content generation from documents placed in a monitored folder. It starts with a Local File Trigger that detects new files (PDF, DOCX, TEXT). Once a new file is added, the workflow extracts its contents and summarizes the information using language models. The extracted data is then vectorized and stored in Qdrant for efficient retrieval. The AI agents collaborate to generate different types of structured documents, such as study guides, timelines, and briefing notes, based on templates. These generated documents are exported and saved locally, making this process ideal for content-based automation tasks like preparing educational materials, reports, or summaries. The workflow’s modular setup leverages AI-driven insights and document management, extremely useful for educators, researchers, and content creators aiming to automate document analysis and report generation.