Automated Document Processing and Knowledge Extraction Workflow

This n8n workflow automates the process of monitoring a folder for new documents, extracting and summarizing their contents, and generating structured notes and templates using advanced AI models. Starting with a folder trigger, it detects added files and imports their contents, supporting multiple formats such as PDFs, DOCX, and plain text. The workflow then categorizes the files, extracts relevant data, and summarizes the contents with LangChain’s summarization chain. It employs vector storage (Qdrant) to enable efficient retrieval and context-aware AI interactions. The core functionality includes generating study guides, briefings, and timelines tailored for educational or informational purposes. The generated documents are exported back to the filesystem for further use. This workflow is ideal for automating document analysis, content summarization, and knowledge base creation, significantly saving time and ensuring consistent data processing.