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RAG is basically like telling an LLM "look here for more info before you answer" so it can check out local documents to give an answer that is more relevant to you.
You just search "open web ui rag" and find plenty kf explanations and tutorials
I think RAG will be surpassed by LLMs in a loop with tool calling (aka agents), with search being one of the tools.
LLMs that train LoRas on the fly then query themselves with the LoRa applied