Name: Java meets AI: Build LLM-Powered Apps with LangChain4j
Start: 2025-01-22T18:00:00-05:00
End: 2025-01-22T20:30:00-05:00
Location: IBM

***We extend our gratitude to IBM Canada for hosting this event and supplying the food. To help cover the cost of food, but more importantly so security can have your visitor badge processed ahead of the event, it is very important to register using the [IBM registration form](https://www.ibm.com/events/reg/flow/ibm/i67fcwmb/createaccount/page/contactInfo).***

***We also want to thank [JetBrains](https://www.jetbrains.com/) for supporting us by offering a free 1-year subscription to any of their IDEs to one lucky attendee at this event.***

We’re so excited to kick off the first JUG event of the year with a fantastic speaker, [Eric Deandrea](https://www.linkedin.com/in/edeandrea/)!

Eric is a [Java Champion](https://javachampions.org/members.html) and Senior Principal Developer Advocate at Red Hat, with over 25 years of experience and a passion for open-source contributions and cutting-edge Java development.

To start the year strong, Eric will present *Java meets AI: Build LLM-Powered Apps with LangChain4j*, showcasing how to integrate AI seamlessly into your Java applications. This is a great opportunity to learn from one of the best in the field and gain insights into building the apps of the future.

**Schedule:**

* 6 PM to 6:30 PM : Networking + 🍕🥤
* 6:30 PM : Talk + Q/A

**Java meets AI: Build LLM-Powered Apps with LangChain4j**
Join us for a guided tour through the possibilities of the LangChain4j framework! Chat with virtually any LLM provider (OpenAI, Gemini, HuggingFace, Azure, AWS, ...)? Generate AI images straight from your Java application with Dall-E and Gemini? Have LLMs return POJOs? Interact with local models on your machine? LangChain4j makes it a piece of cake! We will explain the fundamental building blocks of LLM-powered applications, show you how to chain them together into AI Services, and how to interact with your knowledge base using advanced RAG.

Then, we take a deeper dive into the Quarkus LangChain4j integration. We'll show how little code is needed when using Quarkus, how live reload makes experimenting with prompts a breeze and finally, we'll look at its native image generation capabilities, aiming to get your AI-powered app deployment-ready in no time.

By the end of this session, you will have all the technical knowledge to get your hands dirty, along with plenty of inspiration for designing the apps of the future.

**About Eric**
[Eric Deandrea](https://www.linkedin.com/in/edeandrea/) is a [Java Champion](https://javachampions.org/members.html) & Senior Principal Developer Advocate at Red Hat, focusing on application development technologies. Eric has over 25 years of experience designing and building Java-based solutions and developer training programs. He is a contributor to various OSS projects, including Quarkus, Spring, LangChain4j, WireMock, and Microcks, as well as a speaker at many public events and user groups around the world. Eric recently put his Quarkus and Spring knowledge to use by publishing his first book, “Quarkus for Spring Developers ([https://red.ht/quarkus-spring-devs](https://red.ht/quarkus-spring-devs)).” Outside of work, Eric enjoys boating on the lakes of New Hampshire, ice hockey, and martial arts, in which he holds a black belt in Kempo Karate.

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Sebastien Pelletier

Ottawa Java User Group

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Java meets AI: Build LLM-Powered Apps with LangChain4j

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