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Re-ranking in RAG: Was It Worth the Extra Latency?
A RAG system lives or dies on what it retrieves. If the right passage never reaches the language model, the answer will be wrong, however good the model is. Re-ranking is a popular fix. The system retrieves a larger set of candidate passages, then a second model reads each one alongside the question and puts the best at the top. It often improves relevance. It also adds time to every request, and that time is paid by every user. This blog explains what re-ranking does, what i
ganesh90
2 hours ago12 min read
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