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Deep study guides for production AI interviews — RAG, agents, MCP, evaluation, and system design — each paired with curated questions.

Guides: 49
Questions: 298
Topics: 27

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2 guides in Vector Databases · 13 curated questions

Vector Databases

Vector Database Interview Guide: Indexing, Hybrid Search, and Platform Trade-offs

Vector DB interviews cover HNSW parameter tuning, hybrid retrieval, metadata filtering at scale, and when to use pgvector versus dedicated vector platforms.

Jun 13, 202634 min read5 questions

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Vector Database System Design

ANN search, hybrid retrieval, and scaling to 500M vectors — system design for vector DB interviews.

Jun 8, 202640 min read8 questions

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All interview guides

Vector Database Interview Guide: Indexing, Hybrid Search, and Platform Trade-offs

Vector Database System Design

All interview guides

Vector Database Interview Guide: Indexing, Hybrid Search, and Platform Trade-offs

Vector Database System Design