Building a custom AI agent in Java: A hands-on guide

This guide explains how to build a custom AI agent for business applications using Java, Spring Boot, and LangChain4j. It covers creating a basic chatbot, enhancing it with business context through Retrieval-Augmented Generation (RAG), and enabling the AI to perform actions. The process includes setting up the tech stack, implementing chat memory, using vector embeddings for information retrieval, and defining tools for the AI to interact with the application. The result is an AI agent that can communicate naturally, maintain context, provide business-specific information, and execute tasks within the application.