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Beyond Good Old Text Search 2025-09-24 · 19:00
Piotr Przybył – Senior Developer Advocate @ Elastic

For years, Elasticsearch was known as a powerful engine for traditional text ingestion, processing, and search - for example, logs. In this talk, we’ll cover the capabilities introduced since then that make Elasticsearch (and the rest of the Elastic Stack) a strong choice for going beyond log analysis and classic BM25 search. Topics include dense vectors, sparse vectors, and hybrid search, along with features that improve effectiveness in modern retrieval scenarios.

elasticsearch elastic stack dense vectors hybrid search
Hamed Abdollahpour – Tech Lead @ Trendyol

Discover how Trendyol leverages translation workflows with Elasticsearch, powering fast, scalable searches across translation memory and CMS content. It highlights techniques for scaling translation workflows and improving content retrieval.

elasticsearch
Opening - Elastic Community 2025-07-08 · 16:00
gabi amaral – Community Programs @ Elastic
ELK
Piotr Przybył – Senior Developer Advocate @ 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.

vector search embeddings sparse vectors semantic search
ketan bhatt – Staff Product Engineer @ 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 semantic search
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