Level Up Your LangChain4j Apps for Production

Описание: Struggling with your AI-powered PoC?

This session demonstrates how LangChain4j can help, showcasing a set of often overlooked techniques that keep AI systems on track and unlock more advanced use cases. We explore LangChain4j’s advanced RAG methods for finding all relevant information across documents, databases, APIs, and more, and share practical tips for effective tool calls and responsible MCP usage. You will also see how LangChain4j’s agentic approach lets you decompose complex workflows for greater clarity and control. The presentation wraps up with a guided build of a production-ready agentic system, including the operational and legal considerations that matter once you move beyond PoC.

Presented by Lize Raes (Developer Advocate - Java Team / Oracle) during Devoxx Belgium 2025 ➤ https://devoxx.be

See also    • Agent Orchestration with LangChain4J  

Slides: https://epic.engineering/level-up-you...

Thumbnail photo credit ➤ https://www.flickr.com/photos/bejug/a...

~~~~~ Chapters ~~~~~
00:00 Intro
02:53 Advanced RAG
13:23 Advanced Tool Calling Techniques
21:20 MCP for Production?
25:38 Agentic Module
26:30 Steps to design Production Grade Apps
36:27 Agent Prototype
41:35 Security, Resilience, Error Handling
50:16 Agentic System Demo

#Java #AI #llm #RAG