Erika Russi enhanced the document ingestion pipeline for the ibm-granite-community/granite-snack-cookbook repository by integrating the Docling library into the retrieval-augmented generation (RAG) workflow. She replaced the legacy document loader with Docling, enabling support for multiple document formats and improving the robustness of URL handling. Using Python and Langchain, Erika streamlined the ingestion process, reducing maintenance overhead and minimizing failures from broken links. Her work focused on increasing the reliability and scalability of document processing within the RAG framework. The depth of her contribution is reflected in the improved end-to-end workflow and broader document coverage for indexing.