Data & AIData & AI
Conference40min
BEGINNER

To RAG or not to RAG

This talk demystifies Retrieval-Augmented Generation (RAG) in AI, covering what it is, how to implement it, its requirements, and practical value. Attendees will get clear answers and insights through real code examples, helping them understand when and why to use RAG in real-world applications.

Piotr Przybył
Piotr PrzybyłElastic

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Friday, November 7, 17:30-18:10
Room 3 - Alexandros
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Artificial intelligence is bombarding us from every direction in the news and on social media. One of the sensible immediate applications of AI is RAG, at least that's what they say—for instance, Thoughtworks discusses it in their Technology Radars. But what exactly is this RAG, how do you install or implement it, what are its requirements, is it always necessary, and is it generally worth it? Join my talk to find answers to these questions (and a few others), delivered through working code snippets!
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Piotr Przybył

Piotr Przybył

Elastic

Poland

Notorious engineer at work and after hours, tracing meanders of the art of software engineering. Remote Software Gardener, mostly working in web-oriented Java gardens. Java Champion. Testcontainers Champion. Programming usually in Java (since 1.3), Scala and Go, but in other languages too. Fan of agility, seen mostly as choosing the right tools and approaches after asking the right questions. Developer, trainer and conference speaker. In his talks, Piotr covers not only hardcore Java but also software architecture, computer security, and soft-skills.
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