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Discover advanced techniques for building production-ready AI applications using LangChain4j in this comprehensive conference talk from Devoxx Belgium 2025. Learn how to move beyond proof-of-concept AI systems by implementing sophisticated RAG (Retrieval-Augmented Generation) methods that effectively search across documents, databases, and APIs. Master advanced tool calling techniques and explore responsible MCP (Model Context Protocol) usage for enterprise applications. Understand how LangChain4j's agentic approach enables you to decompose complex workflows for better clarity and control. Follow along as the presentation builds a complete production-ready agentic system, covering crucial operational and legal considerations including security, resilience, and error handling that become essential when deploying AI systems in real-world environments. Gain practical insights into designing scalable AI applications that can handle the demands of production use cases while maintaining reliability and compliance standards.
Syllabus
Intro
Advanced RAG
Advanced Tool Calling Techniques
MCP for Production?
Agentic Module
Steps to design Production Grade Apps
Agent Prototype
Security, Resilience, Error Handling
Agentic System Demo
Taught by
Java