Beyond Text: Building a fast Visual Search Engine

This demo will dive deep into the architecture and implementation of Youzu Lens, our flagship zero-shot visual search engine. We will explore how we leverage vector models to generate rich, 1280-dimensional image embeddings, enabling precise product recognition and similarity matching. The session will cover the pipeline, from multi-tenant product ingestion and GPU-accelerated inference (PyTorch/CUDA) to high-performance vector similarity search engine that achieves sub second query times. We will demonstrate architectural diagrams, showcasing how we handle millions of products with strict data isolation and achieve superior accuracy compared to standard implementations. We can show you how it works in one of customers - https://ro.vivre.eu/