Search Autocomplete System

Let me walk you through how I'd design a search autocomplete system at production scale. I'll go stage by stage – business and ML objectives, high-level design, data and feature strategy, embeddings, pipeline architecture including modeling and training details, infrastructure, evaluation, and robustness. Autocomplete has unique challenges around extreme latency constraints, prefix matching, personalization, and balancing popularity with relevance.