Breakdown documents into study notes using templating MistralAI and Qdrant
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (21)
- Local File Trigger
n8n-nodes-base.localFileTrigger - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Embeddings Mistral Cloud
@n8n/n8n-nodes-langchain.embeddingsMistralCloud - Mistral Cloud Chat Model
@n8n/n8n-nodes-langchain.lmChatMistralCloud - Edit Fields (Set)
n8n-nodes-base.set - Merge
n8n-nodes-base.merge - Split Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Item List Output Parser
@n8n/n8n-nodes-langchain.outputParserItemList - Vector Store Retriever
@n8n/n8n-nodes-langchain.retrieverVectorStore - Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant - Aggregate
n8n-nodes-base.aggregate - Question and Answer Chain
@n8n/n8n-nodes-langchain.chainRetrievalQa - Wait
n8n-nodes-base.wait - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Convert to File
n8n-nodes-base.convertToFile - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Switch
n8n-nodes-base.switch - Extract from File
n8n-nodes-base.extractFromFile - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization
What it does
This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and breaks them down into 3 templates: study guide, briefing doc and timeline. These templates are designed to help a student, associate or clerk quickly summarise, learn and understand the contents to be more productive. Study guide - a short quiz of questions and answered generated by the AI Agent using the contents of the document. Briefing Doc - key information and insights are extracted by the AI into a digestable form. Timeline - key events, durations and people are identified and listed into a simple to understand timeline by the AI How it works A local file trigger watches a local network directory for new documents. New documents are imported into the workflow, its contents extracted and vectorised into a Qdrant vector store to build a mini-knowledgebase. The document then passes through a series of template generating prompts where the AI will perform "research" on the knowledgebase to generate the template contents. Generated study guide, briefing and timeline documents are exported to a designated folder for the user. Requirements Self-hosted version of n8n. Qdrant instance for knowledgebase. Mistral.ai account for embeddings and AI model. Customising your workflow Try adding your own templates or adjusting the existing templates to suit your unique use-case. Anything is quite possible and limited only by your imagination! Want to go fully local? A version of this workflow is available which uses Ollama instead. You can download this template here: https://drive.google.com/file/d/1VV5R2nW-IhVcFPk8uEks4LsLRZrHSNG/view?usp=sharing