Summary
Used large-scale vector similarity search to classify objects encountered by autonomous vehicles in real time. Centralized embeddings in a managed database to simplify architecture and support continuous model improvement. Enabled fast, high‑precision retrieval across massive datasets while reducing operational complexity and costs. Strengthened safety and reliability in complex driving environments.