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Re:I want flexible queries, not RAG by ozr on Tuesday May 21, 2024 @10:23PM (#40436728)
That's not what RAG is. RAG is the process of adding relevant information to a prompt in an LLM. It's a form of in-context learning.
Re:I want flexible queries, not RAG by mr_toad on Tuesday May 21, 2024 @11:20PM (#40437001)
It’s right there in the name - first you Retrieve relevant information (often a vector lookup) then you use it to Augment the prompt, then you Generate an answer.

It’s bloody useful if you can’t cram your entire proprietary code base into a prompt.

Re:I want flexible queries, not RAG by kergonath on Wednesday May 22, 2024 @01:16AM (#40437566)
What makes it useful is precisely that it is not learning.
Re:I want flexible queries, not RAG by ozr on Wednesday May 22, 2024 @02:59PM (#40444773)
Yes it is; it's just not updating the weights.

https://ai.stanford.edu/blog/understanding-incontext/