Target modernizes search with hybrid AlloyDB AI platform
🔍 Target rebuilt its on-site search to combine lexical keyword matching with semantic vector retrieval, using AlloyDB AI to power filtered vector queries at scale. The engineering team implemented a multi-index architecture and a multi-channel relevance framework so hybrid queries can apply native SQL filters alongside vector similarity. The overhaul produced measurable gains — ~20% improvement in product discovery relevance, halved "no results" occurrences, and large latency reductions — while consolidating the stack and accelerating development.
