Easy RAG with LangChain4J and Docker

Our goal is to provide you with tools to start experimenting the RAG (retrieval-augmented generation) pattern right away, so you leave this talk with infrastructure and code ready to use for your next AI project.Using the "Easy RAG" project from LangChain4J, we will:- explain the ideas and concepts behind the RAG pattern- configure a vector database and an LLM to create a realistic RAG infrastructure inside Docker- code a simple RAG application in JavaEverything will run locally, and we'll use Phi-3 to have a small and efficient model, so you can experiment with the RAG pattern on your laptop.