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Recent case studies from
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Manual reporting took 12 hours, leaving insights untapped. An AI agent now mines archives and maps safe routes in just 25 minutes.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.