(Virtual EMEA) Do you really need a Vector Search Database?

Date: July 8th
Time: 5 pm - 6:30 pm BST
Location: https://www.youtube.com/watch?v=-lI0rtwcOeY

Join us for an insightful virtual meetup where we’ll explore a lot of interesting topics regarding Elastic.

Agenda
📍 5.00 - 5.10 BST Waiting for attendees to connect
👋🏼 5.10 - 5.20 pm BST Opening - Elastic Community
Gabi Amaral - Community Programs @ Elastic
👨🏻‍💻 5.20 - 5.50 pm BST Do you really need a Vector Search Database?
Ketan Bhatt - Staff Product Engineer @ Intercom
Abstract: This talk goes into details of how Intercom implemented Semantic search for Fin, their AI Agent, and how their implementation has evolved. Ketan shares practical lessons from his experience on avoiding unnecessary complexity when possible.
👨🏻‍💻 5.50 - 6.10 pm BST Vector Search: Going Beyond Dense Embeddings
Piotr Przybył - Senior Developer Advocate @ Elastic
Abstract: Vector search is typically associated with embeddings - sequences of floating-point numbers. However, semantic search isn’t limited to `dense_vector`. In this talk, I’ll introduce you to sparse vectors, semantic text, and more.
⏰ 6.10 - 6.30 pm BST Q&A and closing

RSVP now to secure your spot!