Building an Agentic RAG Application with Apache Camel and LangChain4j

Introduction Large language models (LLMs) can reason about a question, but they do not know your organization’s past production incidents, and they cannot look up what changed in the world last week. Retrieval-Augmented Generation (RAG) addresses the first problem: relevant data is retrieved and handed to the model as context. Agentic RAG goes one step further.