The Reranker and the Power of the Prompt Welcome to the fourth installment of our full RAG (Retrieval-Augmented Generation) project. If you’ve followed the series so far, you already know how to prepare documents, build the index, and retrieve relevant results using multiple strategies. Now it’s time to go one level deeper: filtering, refining, and shaping the final answer. This is where one of the most important pieces of the RAG puzzle comes into play:
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