Target modernized its digital search to meet guest expectations and improve product discovery. They rebuilt their platform using hybrid search, combining keyword matching with semantic vector search. This approach leverages AlloyDB AI for a faster, smarter, and more resilient experience. The new search platform significantly improved product discovery relevance by 20% and reduced "no results" queries by half. Filtered vector search in AlloyDB allows for complex queries blending semantic meaning with structured constraints like price and availability. AlloyDB’s cloud-first architecture enables Target to handle millions of queries daily with high uptime and low latency. This technology simplifies Target's infrastructure and accelerates development of new search features. Target is evolving its search into a dynamic, intelligent layer for seamless guest experiences across devices. Google Cloud's ongoing advancements in AlloyDB AI will further support Target's innovation in personalized shopping.