RAG Fundamentals Interview Questions
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Q1
What is Retrieval-Augmented Generation (RAG)?
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Q2
Explain the architecture of a basic Naive RAG system.
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Q3
What are the main components of a RAG pipeline?
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Q4
What role do embeddings play in RAG systems?
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Q5
What is a vector database and why is it used in RAG?
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Q6
What are the main challenges when building RAG systems?
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Q7
How do you evaluate the performance of a RAG system?
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Q8
What are common hallucination problems in RAG systems?
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Q9
How can caching improve RAG performance?
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Q10
What are the differences between RAG and fine-tuning?
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