During December 2025, this developer enhanced the Borye/ragflow repository by implementing a targeted knowledge base feature that associates each file entry with its corresponding Document ID. Using Python and leveraging skills in API and backend development as well as database management, they improved the retrieval process to provide greater context, traceability, and search relevance for knowledge base entries. This change supports faster issue diagnosis and auditability by aligning data structure with issue tracking requirements. The work demonstrates a focused approach to solving information retrieval challenges, delivering a well-scoped, maintainable feature that deepens the reliability and transparency of the knowledge base system.