Watching AI bros reinvent CS 101 concepts but worse and somehow get a bunch of attention is so infuriating. Yes LLMs enable a lot of cool shit that wasn't possible before. No, you do not need to reinvent basic concepts like how to structure data, control access or format information because they aren't "Agentic" enough.

Here's a free elevator pitch for anyone who wants to get some of that AI money before the bubble bursts.

"Okay so here's the thing everyone's getting wrong about RAG ... and I mean everyone.

We've been chunking plaintext like it's 2022. Throwing documents into a vector store, crossing our fingers, and hoping semantic similarity magically retrieves the right context. Spoiler: it doesn't.

Real, actionable business data can't be chunked paragraph by paragraph. It has structure. It has links. We need to change how we THINK about our data!

Imagine a system where data isn't just 'semantically similar'. it's structurally bound. Logical tables of related entities. Hard-enforced links. Traversable graphs where an agent doesn't infer a relationship, it follows a pointer.

Imagine a query language that is both easy to read and unambiguous. A declarative query language, based in English so your agents can already use it without extra training. A tool where you don't tell the database HOW to find the data, you just describe what you want, and it finds it in the most efficient way possible.

Imagine a database that is truly 'AI scale'. One that wins on speed and supports automatic replication, built in caching, and has a plugin system with world class domain specific functionality like geo coordinates, full text search, vector dB's, and a built in math system.

Imagine ..... postgreSQL."