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A Generative AI Engineer is developing a RAG (Retrieval-Augmented Generation) application to answer questions related to internal documents for the company SnoPen AI. However, the source documents may contain a considerable amount of irrelevant content, such as advertisements, sports news, entertainment news, or information about other companies. What approach should be taken to effectively filter out this irrelevant information when building the RAG application?