Templates / Breakdown documents into study notes using templating MistralAI and Qdrant

Breakdown documents into study notes using templating MistralAI and Qdrant

Ready for 3.0

by Jimleuk ✓ · 30,210 views · created 2024-07-11 · Document Extraction, AI RAG

Ready 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.

What this workflow does

This AI workflow has 35 nodes and runs on Local File events (add). Along the way it connects Embeddings Mistral Cloud, Mistral Cloud Chat Model and Qdrant Vector Store.

How it runs

Trigger: On Local File events (add).

  1. Settings (Edit Fields (Set)): sets 3 fields: project, path, filename
  2. Import File (Read/Write Files from Disk): reads a file from disk
  3. Get FileType (Switch): routes items into 3 branches
  4. Extract from PDF (Extract from File): extracts data from a file (pdf)
  5. Extract from DOCX (Extract from File): extracts data from a file (ods)
  6. Extract from TEXT (Extract from File): extracts data from a file (text)
  7. Prep Incoming Doc (Edit Fields (Set)): sets 1 field: data
  8. Qdrant Vector Store: stores documents in the Qdrant vector store, with embeddings: Embeddings Mistral Cloud; document loader: Default Data Loader
  9. Summarization Chain: summarizes text with AI, with model: Mistral Cloud Chat Model
  10. Merge: merges the data from its input branches

…plus 13 more steps. See the full node list below.

Services it uses

Embeddings Mistral CloudMistral Cloud Chat ModelQdrant Vector Store

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (21)

From the author

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…

Excerpt from Jimleuk's description on n8n.io.

View the original on n8n.io → Check your own copy

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