Daniel Svonava, CEO of Superlinked, delivered a talk at the Data+AI Summit, organized by Databricks, a global event for the data community, addressing the challenges and solutions for implementing vector-based systems in production environments.

Daniel discussed the limitations of current approaches to vector-powered systems and emphasized the need for:

1. Combining pre-trained models for unstructured data with models trained on structured data
2. Expressing objectives in search vector formulation
3. Building effective feedback loops

He highlighted how Superlinked is making vector search more accessible within the Databricks ecosystem, focusing on creating systems that are easy to control, deploy, and powerful enough to meet user needs.

Watch Daniel Svonava's full talk from the Data+AI Summit, to gain deeper insights into production-grade vector-powered systems and learn how Superlinked is revolutionizing the applications of vector search.

‍