<ul><li>Java developers now have access to two frameworks, SpringAI and LangChain4j, for building AI applications within the Java ecosystem.</li><li>While SpringAI follows a convention-over-configuration design style and offers a steep learning curve, LangChain4j is more explicit and modular, making it accessible for side projects and smaller stacks.</li><li>Architecturally, LangChain4j involves connecting tools, memory, and chains, while SpringAI offers a full-stack AI Spring app with features like AI models, repositories, security, and observability.</li><li>SpringAI provides structure and safety with magic beans for calling functions, while LangChain4j offers explicit tools for more control. In terms of memory management and streaming responses, LangChain4j requires more manual work but provides total control.</li></ul>

SpringAI vs LangChain4j: The Real-World LLM Battle for Java Devs

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