Create a Lookio RAG assistant from a CSV text corpus

This advanced template automates the creation of a [Lookio](https://www.lookio.app) 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, converts them to text files, uploads them to Lookio, and finally creates a new Assistant with strict access limited to these specific resources.

Who is this for?

Knowledge Managers who want to spin up specific "Topic Bots" (e.g., an "RFP Bot" or "HR Policy Bot") based on a spreadsheet of Q&As or articles. Product Teams looking to bulk-import release notes or documentation to test RAG (Retrieval-Augmented Generation) responses. Automation Builders who need a reference implementation for looping through CSV rows, converting text strings to binary files, and aggregating IDs for a final API call.

What is the RAG platform Lookio for knowledge retrieval?

Lookio is an API-first platform that solves the complexity of building RAG (Retrieval-Augmented Generation) systems. While tools like NotebookLM are great for individuals, Lookio is built for business automation.

It handles the difficult backend work—file parsing, chunking, vector storage, and semantic retrieval—so you can focus on the workflow.

API-First: Unlike consumer AI tools, Lookio allows you to integrate your knowledge base directly into n8n, Slack, or internal apps. No "DIY" Headache: You don't need to manage a vector database or write chunking algorithms. Free to Start: You can sign up without a credit card and get 100 free credits to test this workflow immediately.

What problem does this workflow solve?