Contributed to the langchain4j/langchain4j repository by enhancing documentation to clarify the RAG On-Demand Content Retrieval feature, positioning it as a tool-like, conditional capability activated only in response to specific user queries. This update, implemented in Java and focused on AI services and software architecture, introduced no API or behavioral changes, ensuring backward compatibility. The work emphasized guiding developers toward more efficient retrieval workflows, reducing unnecessary data access, and supporting overall performance goals. By updating documentation across relevant sections, the contribution laid the foundation for selective, user-driven content retrieval while improving clarity and maintainability for future development efforts.