Java Meets AI: How to Build LLM-Powered Applications with LangChain4j
Conference (BEGINNER level)
Auditorium
Do you want to build applications powered by Large Language Models (LLMs) using Java?
We built LangChain4j exactly for that! The framework allows you to easily create AI-powered chatbots, process loads of unstructured data, and automate processes with the help of AI Services, that can use various tools: call APIs, access databases, and even dynamically execute generated code. You will get a hands-on guided tour through LangChain4j's functionality and its integrations (OpenAI, Google Gemini, HuggingFace, Dall-E, Quarkus, Spring Boot, etc.). We will explain the fundamental building blocks of LLM-powered applications and show you how to chain them together into AI Services. By the end of this session, you will have all the technical knowledge to start coding, along with plenty of inspiration for designing the new generation of apps.
We built LangChain4j exactly for that! The framework allows you to easily create AI-powered chatbots, process loads of unstructured data, and automate processes with the help of AI Services, that can use various tools: call APIs, access databases, and even dynamically execute generated code. You will get a hands-on guided tour through LangChain4j's functionality and its integrations (OpenAI, Google Gemini, HuggingFace, Dall-E, Quarkus, Spring Boot, etc.). We will explain the fundamental building blocks of LLM-powered applications and show you how to chain them together into AI Services. By the end of this session, you will have all the technical knowledge to start coding, along with plenty of inspiration for designing the new generation of apps.
Lize Raes
Open Tide
Lize is AI Transition Specialist at Open Tide, and Head of AI at a Swiss company specializing in software for drug discovery and gene technology. In parallel, she develops LLM-powered apps and is a core member of the LangChain4j team. Lize loves using technology to solve societal issues. This has driven her in the past to work as a cochlear implant researcher at Ghent University, to develop a COVID-19 prognosis model for advising the Belgian government, and to engage as a committee member for the CNCF + UN hackathon. In her free time, you will find her behind the piano or in her woodworking atelier.