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At a high-level, how do vector databases work, and how do you choose an embedding model when using one?
ML Concept: 5-8 minutes to answer
vectorembeddingretrievalRAGreal-interviewcategory:ai_llm_tools
Updated Feb 20, 2026
Question
Question
At a high-level, how do vector databases work, and how do you choose an embedding model when using one?
This question tests your understanding of the core infrastructure behind semantic search and RAG systems.
Expected time to answer: 5-8 minutes
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