Data & AICodepocalypse Now: LangChain4j vs. Spring AI
Which Java framework handles AI better: LangChain4j or Spring AI? In this live coding showdown, we’ll build a semantic code search application from scratch, putting both frameworks to the test. We’ll cover project setup, using language models, setting up a retrieval-augmented generation workflow, and creating a REST API.You’ll see how these frameworks handle embedding generation, vector database integration, and real-world development challenges. By the end, the audience decides who wins—based on which framework gets the job done faster, better, and with less hassle (and whether the demo actually works).This isn’t just a comparison; it’s a live experiment under pressure. Come and see which one comes out on top!
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Baruch Sadogursky
Viktor Gamov
As a Java Champion and an accomplished speaker, Viktor has captivated audiences at world-renowned industry events such as JavaOne, Devoxx, Kafka Summit, and QCon. His expertise includes distributed systems, real-time data streaming, the Java Virtual Machine (JVM), and DevOps, making him a go-to authority on modern software development practices.
Viktor also co-authors Manning's Kafka in Action.
Beyond his professional achievements, Viktor’s enthusiasm for technology extends to sharing his insights on open source, developer advocacy, and interests in fitness and food. Follow him on X and BlueSky (@gamussa)
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