Breakdown Documents into Study Notes using Templating MistralAI and Qdrant

n8n template #2339

Summary

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 lo

How to set it up

Open template #2339 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 4 credentials under Credentials → Add credential: Item List Output Parser, Embeddings Mistral Cloud, Mistral Cloud Chat Model, Qdrant Vector Store. Then open each of those nodes and pick the credential.
Check the model in the Mistral Cloud Chat Model node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "Breakdown Documents into Study Notes using Templating MistralAI and Qdrant" (https://n8n.io/workflows/2339). It uses: Summarization Chain, Basic LLM Chain, Question and Answer Chain, Item List Output Parser, Vector Store Retriever, Recursive Character Text Splitter, Default Data Loader, Embeddings Mistral Cloud, Mistral Cloud Chat Model, Qdrant Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Summarization Chain Basic LLM Chain Question and Answer ChainItem List Output ParserVector Store Retriever Recursive Character Text Splitter Default Data LoaderEmbeddings Mistral CloudMistral Cloud Chat Model Qdrant Vector Store

Questions

Yes. Jimleuk published it free on n8n.io as a verified creator, and it has 22K views. It runs on n8n Cloud or a self-hosted n8n instance.

Item List Output Parser, Embeddings Mistral Cloud, Mistral Cloud Chat Model, Qdrant Vector Store. The other 6 nodes are built into n8n.

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