Jul 11 • Support Needed 💻
Reranking in RAG - "the second step to pick the most relevant results."
° Retrieve top K docs
° Re‑rank with a cross‑encoder or LLM scoring
° Pick top 3–5
° Generate response
Re-ranking allows pulling more vectors, not just nearest neighbors like basic RAG.
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Reranking in RAG - "the second step to pick the most relevant results."
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