Roberto Esposito

Rajesh Jayaram, a senior research scientist at Google and first author of the MUVERA algorithm, joins Roberto Esposito from Weaviate to discuss innovative multi-vector retrieval. They explore how MUVERA's compression techniques significantly reduce storage needs while maintaining accuracy. Topics include the advantages of contextualized token embeddings, Locality-Sensitive Hashing in topic modeling, and the challenges of benchmarking advanced retrieval systems. Their fascinating insights offer a glimpse into the future of AI and efficient data representation.