Java meets AI Part 2: Build LLM-Powered Apps with LangChain4j - By Eric Deandrea

Join us for the next Riyadh Java User Group meetup!
In Part 2, we will explore the remaining LangChain4j framework.

You’ll learn how to connect with various LLM providers like OpenAI, Gemini, Hugging Face, Azure, and AWS. We’ll show you how to create AI images from your Java application using Dall-E and Gemini. You will also see how LLMs can return Plain Old Java Objects (POJOs) and how to work with local models on your machine.

LangChain4j makes these tasks easy! We will discuss the basic components of LLM-powered applications, show you how to combine them into AI services, and teach you how to access your knowledge base with advanced Retrieval-Augmented Generation (RAG).

Additionally, we will dive into how to use LangChain4j with Quarkus. You will learn how to write less code, how live reload helps you experiment with prompts, and we will look at its image generation features. Our aim is to help you get your AI-powered app ready for deployment quickly.
By the end of this session, you will know how to start building your applications, along with ideas for creating the apps of the future.

We hope to see you there!