Hierarchical Reranking Unleashed: A Step-by-Step Implementation of Enhanced RAG
SMRTR summary
A new hierarchical reranking system for Retrieval-Augmented Generation (RAG) combines internal knowledge bases with external web searches to dramatically reduce AI hallucinations and improve answer accuracy. This two-stage approach first reranks retrieved information against internal knowledge, then refines results using real-time web data through specialized agents.
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