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Ramalama RAGAS #2079

@bmahabirbu

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@bmahabirbu

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Now that the work of seperating RAG into a side container is done thanks @mikebonnet !! We can start on this! Ideally we will use the RAG proxy to look for the specific arguments in the llama.cpp argument call or similar for this to work

RAGAS = RAG as a service = Retrieval Augmented Generation As a Service

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    enhancementNew feature or requestragRelating to Retrieval Augmented Generation feature

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