Author(s): Jayita Gulati

Originally published on Towards AI.

Photo by Emilipothèse on Unsplash

AI has come a long way in the past few years, but imagine this: what if AI could actually think like a researcher? Sounds a bit crazy, right? Well, it’s happening. Welcome to the world of Agentic RAG — a new way AI is starting to not just help with research, but actually do research in a way that feels a lot like how humans do it.

First off, let’s break it down. “Agentic” refers to AI having a kind of autonomy, meaning it can make its own decisions and carry out tasks without needing constant direction. RAG stands for Retrieval-Augmented Generation, which is just a fancy way of saying that AI uses external data (like the internet or a huge database) to improve its output.

Put it all together, and you get AI that can search through tons of information, pull out useful bits, and create something totally new — like a researcher would. It doesn’t just sit there; it does research, comes up with conclusions, and can even form hypotheses.

Now, you might be wondering, how does AI actually think like a researcher? Well, it’s not as spooky as it sounds. Here’s what’s going on:

Problem Solving and… Read the full blog for free on Medium.

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Published via Towards AI