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Design an AI-powered search engine that combines traditional keyword search with semantic understanding. The system supports full-text search, vector similarity search, and hybrid retrieval with learned reranking to deliver highly relevant results across billions of documents. Key features: Full-text keyword search with BM25 scoring. Semantic search using dense vector embeddings.
Document corpus
10B+
Index size
100+ TB
Queries/sec
100K peak
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