Learn how to create a custom AI agent in Java tailored to your business needs. This guide details the process with a hands-on example of building an AI-powered customer support agent for an airline using technologies like Spring Boot for the backend, React for the frontend, and LangChain4j for AI coordination. The guide covers setting up dependencies, defining AI interactions, maintaining chat history, and integrating business-specific knowledge using retrieval-augmented generation (RAG). It also explores how to empower the AI to perform specific actions, enhancing user experience and automating tasks.
Table of contents
Table of contentsIntroductionTech stack and source codeUnderstanding agent autonomy levelsBuilding an AI chatbot in JavaEnhancing the AI with business context using RAGEmpowering the AI to perform actionsSummaryNext steps1 Comment
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