Beyond Keywords: Measuring Multimodal Search Quality

Modern search systems return both text and images, requiring evaluation beyond traditional keyword matching. Our approach leverages embedding models to assess search quality across all modalities simultaneously. We present an open-source tool that quantifies semantic relevance between queries and multimodal results, enabling developers to measure and improve search experiences. This framework captures nuanced relationships between text and visual content, providing actionable metrics for optimizing multimodal search systems.

Philippe Bouzaglou

Vectra