10 must-know topics for RAG engineer interviews: chunking, retrieval metrics, hallucination debugging
ashishllm · x · 2026-09-16
A study checklist for RAG AI Engineer interviews covering ten areas: chunking strategies (paragraph/sentence/recursive for unstructured, entity-based for structured, layout-aware for PDFs), choosing between semantic/keyword/hybrid retrieval and debugging it, retrieval metrics (precision, recall, MRR, hit rate), embeddings and dimension tradeoffs, LLM accuracy and safety guardrails, hallucination reduction, prompt strategies and caching, cache types for cost reduction, user feedback loops, and integrating AI agents into RAG systems. Key tip: most questions have no single right answer—present multiple options with reasoning.
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