How I Sold a RAG Agent for $4,500
Nov 04, 2025
A university client came to me with a challenge:
They needed a Retrieval-Augmented Generation (RAG) solution for their internal learning management system.
But there was a catch —
- No API keys.
- No subscriptions.
- No cloud costs.
Everything had to run locally on their own GPU infrastructure.
They wanted a chatbot like NotebookLM where students could:
- π Select specific documents
- π¬ Chat with those documents
- π§ Generate quizzes automatically
And it all had to work offline — no OpenAI API, no hidden bills.
That’s when the real R&D started.
Could we vectorize each document individually and make them selectable later?
Or were we stuck building one massive global database?
After experimenting, I found the solution:
We could embed each document separately, giving students full control over which sources they wanted to interact with.
The final system?
A containerized chatbot that integrated directly into their LMS — giving them NotebookLM-level functionality, without ever touching the cloud.
π° Total project value: $4,500.
βοΈ Total dependencies: all open-source and GPU-local.
And this is exactly what automation can do for your business — solve real problems with real ROI.
Because once you can build systems like this, clients stop seeing you as “just a freelancer.”
You become their AI consultant — someone who saves them time, cost, and complexity.
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Inside the Corporate Automation Library Pro, you’ll get access to the same kinds of high-ROI systems I use for client projects — ready to customize, sell, and deploy.
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