Information retrieval

Understanding how an order relates to a customer and a product can support questions that cross those records.

Retrieval helps locate relevant information.

The concept map helps describe how pieces of information belong together.

structured data prediction adds another component for working with those records.

Did I explain the progression correctly in terms of how AI changed the market and the technologies and so on?

Yeah, I think if you look at a data center before AI, it was really mostly about information retrieval.

The key application was something like Netflix where you're streaming video, right? So you have these huge storage servers and you're trying to pull that data out of the data center.

So if you looked at the data networking, it's more about getting data out of the data center that was movement within the data center.

It's got a name.

Retrieval Augmented Generation.

Everyone shortens it to RAG.

It's the single biggest reason these tools got more trustworthy without the model underneath changing much at all.

That's the failure pattern, and it's exactly the one you can't see in a trace, because everything in the trace looks fine.

Retrieval returned a relevant document.

The output cites it.

The claim is true.