Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore advanced techniques for evaluating multimodal search systems that return both text and images in this 38-minute conference talk from Haystack EU 2025. Learn how to move beyond traditional keyword matching approaches by leveraging embedding models to assess search quality across all modalities simultaneously. Discover an open-source tool designed to quantify semantic relevance between queries and multimodal results, enabling developers to measure and improve search experiences effectively. Understand how this framework captures nuanced relationships between text and visual content while providing actionable metrics for optimizing multimodal search systems. Gain insights into modern evaluation methods that address the complexity of contemporary search systems where visual and textual content must be assessed together for comprehensive quality measurement.
