Templates / Create a Lookio RAG assistant from a CSV text corpus

Create a Lookio RAG assistant from a CSV text corpus

Ready for 3.0

by Guillaume Duvernay ✓ · 78 views · created 2025-12-16 · 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 workflow has 9 nodes and runs when someone submits an n8n form (“CSV”). It uses only n8n's built-in nodes. It also calls api.lookio.app over HTTP.

How it runs

Trigger: When someone submits an n8n form (“CSV”).

  1. Convert CSV to JSON (Extract from File): extracts data from a file
  2. Convert to txt (Convert to File): converts data to a file (to text)
  3. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  4. Aggregate: combines items into one
  5. Import resource to Lookio (HTTP Request): calls api.lookio.app (POST)
  6. Convert IDs into an Array (Edit Fields (Set)): sets 1 field: IDs
  7. Create Lookio assistant (HTTP Request): calls api.lookio.app (POST)
  8. Success message form ending (n8n Form): shows the next form page

HTTP calls to: api.lookio.app

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 (8)

From the author

This advanced template automates the creation of a Lookio Assistant populated with a specific corpus of text. Instead of uploading files one by one, you can simply upload a CSV containing multiple text resources. The workflow iterates through the rows,…

Excerpt from Guillaume Duvernay's description on n8n.io.

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

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