This workflow automates the process of turning source documents (PDF, DOCX, or TXT) into structured study and reference materials using AI. By watching a designated folder, it automatically imports new files, extracts content, summarizes key insights, and generates multiple types of notes such as study guides, timelines, and briefing documents.
It leverages Mistral Cloud LLMs, vector storage (Qdrant), and retrieval-augmented generation (RAG) to deliver accurate, context-rich outputs. Finally, the generated notes are exported to your filesystem for immediate use.
Perfect for students, researchers, and professionals who want to save time while creating learning aids, reports, or knowledge summaries.
Features
- 📂 Automated File Monitoring – Detects new documents in a target folder.
- 📝 Multi-format Extraction – Works with PDF, DOCX, and plain text files.
- 🤖 AI-Powered Summarization – Uses Mistral Cloud models to condense large documents.
- 📚 Note Generation Templates – Creates:
- Study Guides (with quizzes, essay questions, glossary)
- Timelines (events + cast of characters)
- Briefing Documents (concise fact outlines)
- 🧠 Retrieval-Augmented Generation (RAG) – Stores document embeddings in Qdrant for context-aware responses.
- 🔄 Scalable AI Agents – Multiple LLM agents collaborate to generate structured outputs.
- 💾 Automatic Export – Saves generated notes alongside the original source files.
- 🎓 Customizable Templates – Easily extend with your own note/document formats.
