Mór Kapronczay, Head of ML at Superlinked, unpacks the nuances of embeddings beyond just text. He emphasizes that traditional text embeddings fall short, especially with complex data. Mór introduces multi-modal embeddings that integrate various data types, improving search relevance and user experiences. He also discusses challenges in embedding numerical data, suggesting innovative methods like logarithmic transformations. The conversation delves into balancing speed and accuracy in vector searches, highlighting the dynamic nature of real-time data prioritization.