Mary Grygleski at JNation 2024
summary
Overview of a practical path to add generative AI into Java systems with concrete code and demos rather than high-level hype. Covers using LangChain4J to call embedding models, converting application data into vectors, storing and querying them in PG Vector, and wiring search results back into Java logic. Delivers a 45 minute primer plus a 2 hour workshop with hands on exercises that run embeddings and simple similarity queries to prove the integration works for real in a Java+service stack Java+GenAI.
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