Clement Escoffier

Clement Escoffier

Red Hat
Clement Escoffier (@clementplop) is a distinguished engineer at Red Hat. He is a Java Champion. Before joining Red Hat, Clement had several professional lives, from academic positions to management. He contributed to projects and products, touching many domains and technologies such as OSGi, mobile, continuous delivery, and DevOps. Clement has always been interested in software engineering, distributed systems, and event-driven architecture. He recently focused on Reactive Systems, Cloud-Native applications, and Kubernetes. Clement contributed to many open-source projects, such as Apache Felix, Eclipse Vert.x, SmallRye, Mutiny, and Quarkus. He also authored the "Reactive Systems in Java" book.
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Georgios Andrianakis
Georgios Andrianakis
Red Hat
Clement Escoffier
Clement Escoffier
Red Hat

Crafting Intelligent Applications with Quarkus/LangChain4j

This session revisits the collaboration between Quarkus and LangChain4j, a year after its inception at Devoxx.be 2023. Quarkus, building on LangChain4j, provides an ideal runtime for creating intellig...
Data & (Gen)AI Data & (Gen)AI Lunch Talk 45 min. INTERMEDIATE
Kevin Dubois
Kevin Dubois
Red Hat
Georgios Andrianakis
Georgios Andrianakis
Red Hat
Eric Deandrea
Eric Deandrea
Red Hat
+2 more

Create AI-Infused Apps with LangChain4j: Insights from the Quarkus Developers

This session guides Java application developers on infusing AI into their applications using Quarkus and LangChain4j libraries. Participants will explore AI capabilities, starting from the Quarkus Dev...
Server Side Java Server Side Java Hands-on Lab (3h) 180 min. INTERMEDIATE
Georgios Andrianakis
Georgios Andrianakis
Red Hat
Eric Deandrea
Eric Deandrea
Red Hat
Clement Escoffier
Clement Escoffier
Red Hat

Java meets AI: Build LLM-Powered Apps with LangChain4j

This session provides a guided tour of the LangChain4j framework, highlighting its capabilities for interacting with various large language models (LLMs) and generating AI images directly from Java ap...
Data & (Gen)AI Data & (Gen)AI Deep Dive 180 min. INTERMEDIATE