Because "RAG" is shorter than "use a vector db/embeddings coupled with LLM to generate better answers"
But better answer: "retrieval augmented" has been used in papers since at least 2018 [1], the full "RAG" acronym since at least 2020 [2], and it was recently repopularized when the GPT3+ hype wave realized they were doing the same thing.
But better answer: "retrieval augmented" has been used in papers since at least 2018 [1], the full "RAG" acronym since at least 2020 [2], and it was recently repopularized when the GPT3+ hype wave realized they were doing the same thing.
[1] https://arxiv.org/abs/1808.03430 [2] https://arxiv.org/abs/2005.11401