This n8n workflow automates the process of generating structured study or briefing notes from newly added documents in a specified folder. It uses Retrieval-Augmented Generation (RAG) with Mistral Cloud and Qdrant to summarize, vectorize, query, and produce AI-generated markdown documents. Designed for research, training, and learning scenarios, this template transforms raw source material into digestible, well-structured notes — all fully automated.
When a new file is detected, it is processed, summarized, stored in a vector database, and used by multiple AI agents to generate different note formats (e.g., study guides, timelines, briefing documents). The generated notes are then exported alongside the original file for easy access.
Features
- Automated Folder Monitoring: Watches a designated folder and triggers when new files are added.
- Multi-format File Extraction: Supports PDF, DOCX, and text files for content ingestion.
- AI-Powered Summarization: Uses Mistral Cloud LLMs to create concise summaries of the imported documents.
- Vector Database Integration: Stores processed content in Qdrant for fast and accurate retrieval.
- Template-Based Note Generation: Generates multiple document types (Study Guides, Timelines, Briefing Docs) automatically via looping through predefined templates.
- Retrieval-Augmented Generation (RAG): Ensures generated content is accurate and contextually relevant by combining vector search and LLM capabilities.
- Local Export: Saves the AI-generated notes in markdown format alongside the original document for immediate use.
Use Cases
- Academic Research: Quickly produce study notes, timelines, and glossaries from research papers.
- Corporate Training: Turn training manuals into structured study guides and summaries.
- Project Briefing: Create concise briefing documents from lengthy reports or proposals.
- Legal & Compliance: Summarize contracts and generate key-term glossaries for legal teams.
- Historical or Investigative Work: Build timelines and character maps from archival documents.
Prerequisites
- n8n (self-hosted or cloud)
- Mistral Cloud API (for LLM-powered summarization and generation)
- Qdrant API (for vector storage and retrieval)
- Access to the folder to monitor (read/write permissions)
