It is to me. And I agree that the term is losing value because it's becoming ubiquitous but it's the differentiation from the first versions of ChatGPT etc., which were purely user input -> LLM -> output driven.

The answer would be yes. It's about using stored knowledge to increase the accuracy of the answer and evidence surfacing.

It doesn't have to be a vector database.

Kapa is one of the few companies doing RAG right.

In the context of the title of the hn submission, I read “RAG Context” as “the retrieved content injected into the context window” .... "read" read /rε d/ not /riːd/

> So when an agent does "cat file.txt" that's RAG to you?

No, that might be "RAG Context" though.