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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 i
by sprobertson 3y ago
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.
[1] https://arxiv.org/abs/1808.03430 https://arxiv.org/abs/1808.03430
[2] https://arxiv.org/abs/2005.11401 https://arxiv.org/abs/2005.11401
- jamesbriggs 3y agoYeah RAG has been around for some time, paper [2] being where I first stumbled onto it — I remember a 2-3 years ago building a RAG pipeline using either the model they trained in paper 2, or that was trained based on the same idea, with Deepset AI's Haystack library. It has been a little surreal to see that terminology become so popular again