understanding rag ai apps (and the pipelines that feed them)

i’m learning all about rag ai apps and wanted to try to explain, at a high-level, what these are all about plus do the same for the etl pipelines that are key to their success

finally checking out chatgpt (adding a new tool in my toolbelt)

putting aside my (natural?) fear of artificial intelligence, i finally got around to exploring (testing?) chatgpt that everyone has been talking about for many months now