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20 Supporting Information Retrieval in Peer to Peer Systems L3s

20 Supporting Information Retrieval in Peer to Peer Systems L3s

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how does the retriever component for a rag for a rag based search machine learning how how does how does the retriever component of a rag model determine the most relevant documents for any given prompt or query and that retriever component in a rag model typically uses uh dense or sparse retrieval techniques these this retrieval component looks at the semantic similarity between all the documents and all of those vectors that are derived from th those documents that are submitted it's going to look at the semantic similarity between all of those and that's how it's going to actually determine what is relevant

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