The article would be more convincing if they showed the recipe from the book so we could compare it with the one that ChatGPT output.

From a Google search, it looks like he's right about the poor accuracy. It gets the basic idea of the ingredients, but is not really accurate. And is initially wrong about the region.

But actually, this is what RAG is for. You would typically do a vector search for something similar to the question about "rice baked in an egg mixture". And assuming it found a match on the real recipe or on a few similar possibilities, feed those into the prompt for the LLM to incorporate.

So if you have a well indexed recipe database and large context window to include multiple possible matches, then RAG would probably work perfectly for this case.