Most people optimizing AI chatbots and RAG systems focus on the model. But what if the real problem is your content format? In a head-to-head test, structured content using JSON-LD outperformed standard HTML by more than 3.6x in information retrieval accuracy. The difference is so stark, it’s like comparing finding a book in a heap of books compared to using a card catalog that lists the location of every book. ...
Imagine searching a giant library of documents for one specific answer. It can feel like finding a needle in a haystack. When there’s too much information, getting the useful bits quickly is a big challenge. This is a problem I faced with a large content repository. In response, I built a system that breaks content into chunks and connects those chunks to a taxonomy (an organized set of topics) using important terms found in each chunk. By linking each content piece to key terms and grouping those terms into categories, I created a “map” that makes it easier to find what you need. In this post, I’ll introduce how this works and why it helps with information retrieval (finding the right info when you search). ...