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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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