Real-time search suggestions on GCP with Memorystore trie, frequency-based ranking, and personalized results via Pub/Sub streaming.
Difficulty: intermediate
Tags: search, autocomplete, trie, typeahead, gcp
Search autocomplete suggests query completions as users type, requiring sub-100ms response times and frequency-based ranking. This GCP-native design uses a trie (prefix tree) stored in Memorystore (Redis) for fast prefix lookups, with Firestore tracking query frequencies. Perfect for search teams needing sub-100ms typeahead suggestions with frequency-based ranking and user-specific personalization.