Java Meets AI - How to Build LLM-Powered Applications with LangChain4j

Discover how to build Large Language Model (LLM) powered applications using Java and Spring Boot with LangChain4j in this 47-minute Devoxx conference talk. Learn to create AI-powered chatbots, process unstructured data, and automate processes using AI services that can call APIs, access databases, and execute generated code. Explore the fundamental building blocks, including various commercial and open-source LLMs, document loaders, embeddings, vector stores, memory, and tools. See how to chain these components together using a concise and unified Java API. Watch the creation of a patient customer support agent that handles bookings, cancellations, and provides personalized answers. Gain insights on selecting appropriate LLMs, embeddings, and vector stores for specific use cases, and understand the trade-offs involved. Learn techniques to improve quality through parameter adjustments, data pre-processing, and efficient prompt crafting. By the end of the talk, acquire the knowledge to build LLM-powered applications in Java and make informed decisions on component selection for your projects.

Java Meets AI: How to build LLM-Powered Applications with LangChain4j by Lize Raes