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| May 13, 2025 |
| RAG with In-Memory Java Microservices |
| We are happy to announce that Phil Chung will be our special guest for this month's meeting. |
| Learn why Retrieval Augmented Generation (RAG) has emerged as a critical need to augment Large Language Models (LLMs) with internal, non public data. Python is usually required for GenAI programming but we will show you a native In-Memory Java approach to RAG pipelines for LLMs. |
| Explore GenAI in an open source, fully native Java ecosystem using the Helidon microservices framework and LangChain4j to supplement GenAI LLMs with your internal, corporate data using RAG to provide more precise and accurate responses, reduce hallucinations and increase transparency and trust. Join us as we dive into Java based RAG with LLMs and shape the future of Java and AI! |