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Event

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

2025-07-08 – 2025-07-08 Meetup Visit website ↗

Activities tracked

3

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

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Do you really need a Vector Search Database?

talk
ketan bhatt (Intercom)

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.

Vector Search: Going Beyond Dense Embeddings

talk
Piotr Przybył (Elastic)

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.