LangChain4j and Spring AI bring LLM integration natively to Java apps

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Java developers can now build large language model-powered applications without relying on Python tools, thanks to two mature libraries: LangChain4j and Spring AI. LangChain4j was written for Java from the ground up, while Spring AI follows familiar Spring Boot conventions and reached version 2.0 in June 2025. Both libraries handle repetitive tasks such as managing conversation history, generating embeddings, querying vector stores, and parsing model outputs. A basic LLM-connected endpoint can be set up in roughly six lines of Spring Boot code using auto-configured components. Beyond simple chat, the libraries support structured outputs, retrieval-augmented generation over internal documents, and function-calling to let models trigger real application code.

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