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Self-RAG and Corrective RAG (EXPLAINED)

Scenario BasedRAGHard25 min read

Hard RAG interview question on self-rag and corrective rag — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Self-RAG uses reflection tokens to decide retrieve/generate/critique steps. Corrective RAG adds retrieval evaluators that trigger web search or re-retrieval when initial context is irrelevant — reducing confident wrong answers.

The Interview Question

Explain self-rag and corrective rag. How would you design, implement, and evaluate this in a production RAG system? Discuss trade-offs and failure modes.

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