State of the Art of Spring AI
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Josh Long demonstrates how Spring AI (GA as of May 2025) enables Java developers to build production-ready AI applications with ease. He addresses common AI challenges including lack of direction, statelessness, inability to interact with external systems, and hallucination through features like system prompts, chat memory, tool calling, and retrieval-augmented generation. The demonstration builds a complete dog adoption application with vector stores, chat memory, and tool calling capabilities, showcasing how Java can be a superior choice for AI workloads compared to other languages. Josh let's you explore the latest-and-greatest in Spring AI to build faster, more scalable, more efficient, more modular, more secure, and more intelligent systems and services.
Transcript
Josh Long demonstrates how Spring AI (GA as of May 2025) enables Java developers to build production-ready AI applications with ease. He addresses common AI challenges including lack of direction, statelessness, inability to interact with external systems, and hallucination through features like system prompts, chat memory, tool calling, and retrieval-augmented generation. The demonstration builds a complete dog adoption application with vector stores, chat memory, and tool calling capabilities, showcasing how Java can be a superior choice for AI workloads compared to other languages.
Josh let's you explore the latest-and-greatest in Spring AI to build faster, more scalable, more efficient, more modular, more secure, and more intelligent systems and services.
About the speakers
Spring Developer Advocate at Pivotal, Java Champion and author of 6 books