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Design a Distributed Search Engine is a hard system design interview question covering inverted index, ranking, sharding, MapReduce — the kind asked at FAANG (Facebook/Meta, Apple, Amazon, Netflix, Google) and AI-first companies like Anthropic, OpenAI, and Nvidia.
Design a distributed full-text search engine that can index billions of documents and return relevant results in under 100ms.
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