The workshop https://schedule.jcon.one/session/894517
Local AI models are becoming increasingly important in modern software development, especially in areas that require offline-capable, data-protection-friendly, and powerful systems. In this workshop, we examine how local AI models with Ollama and Retrieval Augmented Generation (RAG) can be integrated into existing Java applications to carry out data-driven optimizations.
The open-source project "Expedition Planner", a Java-based web application for planning and organizing expeditions, serves as the playground. The workshop aims to develop an AI-based optimization component that analyzes and automatically improves expedition tasks and equipment lists using RAG. Technologies such as Langchain4j are used to integrate Ollama models and RAG seamlessly.
At the end of the workshop, the participants understand how to integrate and use local AI models and RAG in Java-based applications. We develop our AI expansion for the expedition Planner, offering data-based optimization options. In addition, we learn how LLMS can be used productively within a closed infrastructure without relying on external cloud services.
Level: Intermediate Location: Startplatz | Im Mediapark 5 | 50670 Köln Tags: #ai #eclipsestore #java #langchain4-j #vaadin Monday May 12 16:00-18:00 at Workshoproom: Köln/Bonn
If you havea ny queastions: mailto:[email protected]