From live data to useful insights | Elastic Warsaw meetup

Join us on Thursday, April 24th, for the next Elastic Warsaw User Group Meetup!
Doors open at 18.00, with snacks and drinks provided. Presentations will kick off at 18.30, and we’ll wrap up by 20.00.

Wykłady w czasie tego spotkania będą prowadzone po angielsku, ale pytania będzie można zadać również po polsku ;-)

Address: Brain Embassy Warsaw, Tadeusza Czackiego 15/17, Warszawa

Agenda:
18:00 Doors open
18:05 Drinks, bites and networking
18:30 From live data to useful insights with Apache Kafka, Apache Flink and Elasticsearch
19:15 Elasticsearch: Vector and Hybrid Search
20:00 Wrap up

Talks:
From live data to useful insights with Apache Kafka, Apache Flink and Elasticsearch
In this session, we will explore how to monitor and analyze streaming data using Apache Kafka, Apache Flink, Elasticsearch, and AI. We will take a live data stream from a public source, process it through Apache Kafka, transform it with Apache Flink, and then send it to Elasticsearch. Next, we will use large language models (LLMs) to analyze each record, extract insights, and categorize the data so that the final output can be stored in Elasticsearch for search, aggregations, and visualizations.

Speaker: Olena Kutsenko (LinkedIN), Staff Developer Advocate @Confluent

Elasticsearch: Vector and Hybrid Search
Search is not just traditional TF/IDF any more but the current trend of machine learning and models has opened another dimension for search. This talk gives an overview of:

• "Classic" search and its limitations
• What is a model and how can you use it
• How to use vector search or hybrid search in Elasticsearch
• Where LLMs come into play to with vector search

Piotr Przybył (LinkedIN), Senior Developer Advocate @Elastic