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2024

  • in RAG
  • 6 min read

How to build a terrible RAG system

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If you've seen any of my work, you know that the main message I have for anyone building a RAG system is to think of it primarily as a recommendation system. Today, I want to introduce the concept of inverted thinking to address how we should approach the challenge of creating an exceptional system.

What is inverted thinking?

Inversion is the practice of thinking through problems in reverse. It's the practice of “inverting” a problem - turning it upside down - to see it from a different perspective. In its most powerful form, inversion is asking how an endeavor could fail, and then being careful to avoid those pitfalls. [1]

Who am I?

In the next year, this blog will be painted with a mix of technical machine learning content and personal notes. I've spent more of my 20s thinking about my life than machine learning. I'm not good at either, but I enjoy both.

Life story

I was born in a village in China. My parents were the children of rural farmers who grew up during the Cultural Revolution. They were the first generation of their family to read and write, and also the first generation to leave the village.