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Adaptive Retrieval: When to Skip RAG (ANSWERED)

Scenario BasedRAGMedium15 min read

Medium RAG interview question on adaptive retrieval: when to skip rag — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Not every query needs retrieval — route chit-chat and generic knowledge directly to the LLM or cached FAQs. Use retrieval score thresholds or classifiers to skip RAG when top-k similarity is weak, saving latency and noise.

The Interview Question

Explain adaptive retrieval: when to skip rag. How would you design, implement, and evaluate this in a production RAG system? Discuss trade-offs and failure modes.

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