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A conference talk recap from GeeCon 2025 covering how to build LLM-powered applications in Java using LangChain4j. Topics include prompt engineering (system vs user prompts), AI services with streaming, memory management via MessageWindowChatMemory, function calling/tools, RAG with PGVector, chunking and tokenization, and the Model Context Protocol (MCP). A Jakarta EE project generator demo is also shown. Source code and slides are available on GitHub and Speakerdeck.

Java+LLMs: A hands-on guide to building LLM Apps in Java