Retrieval & Search interview questions.
A curated set of 12 questions that repeatedly exercise Retrieval & Search concepts in AI/ML interviews.
Explain how RAG works end to end.GenAI & LLM · medium · Evidence 75/100Design a Q&A BotML System Design · hard · Evidence 41/100How would you evaluate retrieval quality separately from answer quality in a Q&A bot?GenAI & LLM · hard · Evidence 41/100Contrastive Learning for RecommendationGenAI & LLM · hard · Evidence 41/100Design a Recommendation System at High LevelML System Design · hard · Evidence 41/100Embeddings for Retrieval vs Token EmbeddingsGenAI & LLM · medium · Evidence 41/100How should retrieval metrics differ from ranking metrics in a recommender?ML Fundamentals · medium · Evidence 41/100Design Global Search for Ephemeral Status PostsML System Design · hard · Evidence 41/100For a Q&A bot, when would you add RAG instead of relying on a parametric model alone?GenAI & LLM · medium · Evidence 41/100What Makes a Good Embedding?ML Fundamentals · medium · Evidence 41/100Retrieval vs RankingML Fundamentals · medium · Evidence 41/100How would you use a two-tower model for candidate retrieval?ML System Design · hard · Evidence 37/100