Retrieval-Augmented Generation (RAG) is transforming how artificial intelligence systems retrieve information and generate contextually relevant responses. By combining large language models (LLMs) with external knowledge sources, RAG enables AI applications to deliver more accurate, relevant, and up-to-date answers. However, the effectiveness of these systems depends heavily on the quality of...
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