Java User Group Łódź

Warsztat/posiadówka z laptopem. Przećwiczymy i obejrzymy zmiany (tzw. JEPy) które są już finalne w jdk.
czyli ;

[English version below]

Cześć,
Mam ogromną przyjemność zaprosić Was na pierwsze spotkanie organizowane wspólnie z łódzkim oddziałem EPAM. W planach dwie prezetacje odnośnie AI: Java RAG: Build Your Own Black Box oraz Spring AI.

Ważna uwaga: spotkanie wyjątkowo zaczyna się o 17:30!

Hi,
I’m very happy to invite you to our first meetup, which is being organized in collaboration with the Łódź branch of EPAM. We have two AI-related talks planned: Java RAG: Build Your Own Black Box and Spring AI.

Important note: this meetup will start at 17:30.

Spring AI
Transforming your existing Java applications into intelligent, AI-driven systems no
longer requires a PhD in Data Science or switching to Python. In this session, we
explore how Spring AI brings the familiar power of the Spring ecosystem - portability,
modularity, and POJO-based design - directly into the world of Artificial Intelligence.
We’ll move beyond basic API calls to show how you can harness Large Language
Models (LLMs) like OpenAI and Google Gemini using the same @Service and
dependency injection patterns you use every day. We will provide an overview of the
major capabilities and also dive into the latest Spring AI v2 milestones that position Java
at the forefront of the agentic AI wave.

By the end of this talk, you’ll see how Spring AI acts as a bridge that allows Java
developers to build production-ready, intelligent features without reinventing the wheel.

Dzmitry Sidarenka
Dzmitry has nearly 20 years of experience specializing in systems built with
Java. He is passionate about building and testing robust APIs and is known for thriving in
high-pressure production incident troubleshooting. His work focuses on designing
reliable, maintainable services and improving system resilience through pragmatic
engineering practices.

Java RAG: Build Your Own Black Box
Retrieval-Augmented Generation (RAG) often feels like a magical black box. But once
you start experimenting with it yourself, it quickly becomes clear how powerful the
combination of information retrieval and generative AI can be.

Key topics:
- What is Retrieval-Augmented Generation (RAG)?
- Why should you consider using it in your own projects?
- Key RAG components and how the workflow operates
- How to build your own RAG solution using Java
- Live demo of a Java-based RAG project and ways to extend and improve it

Ahmed Samy
Ahmed is a Senior Software Engineer at EPAM Systems. As he jokes, he often
feels like a junior at work - mostly thanks to his constant curiosity and desire to keep
learning new things.
In his daily work, he actively uses AI as a learning companion, exploring new ideas by
experimenting, testing different approaches, and working with various pieces of code.