So, I know that what I am about to say is going to come as somewhat of a shock. And so, it is with a sense of shame that tells you this: I wrote some of this series of articles using AI. Generative AI, nonetheless. In fact, I used Retrieval Augmented Generation. I did. Hi, I'm Seth, and I am a RAGhead. Uh, hm…. Maybe that joke didn’t come out quite right. Annnnneeeeyyyyhow. I mention this because of the following 3 reasons: I needed an introduction to this article, a "cold open" if you will, insofar as a business article about business technology can have one. I wanted to show you 100% genuine results from a RAG process I wanted to show you that low-rent RAG can be a highly useful,…

Welcome to article 2 of this series of 7 articles about Retrieval Augmented Generation (RAG). Soon we will need robust information systems to navigate this article itself. As a GenX'er, I'd like to apologize for my place in popularizing MTV and thus crushing our nation's cumulative attention span. Oh yes, I did just blame MTV for the way I have my blog set up. Wait until you see some of my other deflecting and projecting moves. As you peruse this article, just think to yourself: "If that's what they're willing to say out loud, imagine the cool stuff happening behind closed doors." And that's your mission for today - vividly imagine what RAG can do for you. I've given you a spiffy table of contents so that you can jump around…

I. Introduction What makes a company who it is? (No, really, this isn't some 'how many angels can dance' kind of question.). I would argue that there's several things - corporate culture, leadership, product set, history, and probably a few more that you can think of. And there's one thing that every single one of those things shares - the data collected over time. You have the HR data, you have the product performance data; you have the customer searches; you have the customer support; you have data, data, data. I don't know if you remember, but I remember (as does Pepperidge Farm), a time probably 15 years ago (maybe 20?) where we were all promised that if we just saved all this data, that we'd be able to turn it…