Show HN: RAG Architecture for optimizing retrieval volume/relevancy tradeoff(github.com)
1 pointby Gregoryy24 days ago1 comment
  • v_CodeSentinal24 days ago
    Interesting approach. How does this architecture handle the 'lost in the middle' phenomenon when the retrieval volume increases? I've found that simply increasing volume often degrades reasoning quality unless re-ranking is extremely aggressive.
    • Gregoryy23 days ago
      we consider this a separate issue that should be addressed using special approaches. however, the proposed technique generally tends to decrease the probability of something being lost in the middle by minimizing the total size of the retrieved documents.