Data Science @ Regensburg Meetup – Exploring the Impact of Vector Search in E-Commerce – Daniel Wrigley

With the advent of vector search engines, neural search frameworks and of course the availability of vector search capabilities in widely used search engines like Solr, Elasticsearch or Opensearch, the adoption of vectors in search applications increases. On the other hand companies struggle with actually exploring the impact of vector search and compare the relevance to traditional techniques like BM25.

This talk will briefly introduce business cases for applying vectors in search before technically demonstrating an open source reference implementation of vector search that incorporates different ways of leveraging vectors in search. Finally, Daniel will show how to evaluate relevance gains (or losses) when using vector search, to have actual proof of how useful the vector based approaches are.

After attending this talk you will know how to get started with vector search, what different approaches there are to integrate vectors in search applications and how to measure their impact on search relevance.

Daniel’s talk will start at 6.30pm CEST at the University of Regensburg, Bavaria, Germany.