This article details how Uber Eats developed its semantic search system to improve order discovery and conversion rates. It covers the architecture, model training, and challenges faced while scaling the platform to handle diverse queries effectively.

OpenSearch Vector Engine is a specialized database designed for artificial intelligence applications, enabling efficient management and querying of high-dimensional vector data. It supports fast similarity searches and is suitable for various AI use cases, including chatbots, recommendations, and semantic search, while offering scalability and low latency. With features like k-NN search and built-in anomaly detection, it empowers organizations to enhance their AI-driven applications effectively.