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题集来源:AMIT SHEKHAR(amitshekhariitbhu)收录项目:ai-engineering-interview-questions查看原题集

题目目录

42 道原题
  1. What are the common failure modes of RAG systems, and how do you debug them?

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  2. How do you handle document updates and maintain freshness in a RAG system?

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  3. How do you optimize RAG for latency in production?

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  4. What is the role of metadata filtering in RAG systems?

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  5. Compare RAG vs fine-tuning. When would you use each?

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  6. Long context windows keep getting cheaper. When should you use retrieval (RAG) vs putting everything in the context window?

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  7. What is query transformation in RAG (HyDE, query decomposition, step-back prompting)?

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  8. How do you implement citation and source attribution in RAG?

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  9. How do you scale a RAG system to millions of documents?

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  10. What is parent-child chunking, and how does it improve retrieval?

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