A Generative AI Engineer is building a RAG system for internal Q&A on structured HR policy documents. The system is returning incomplete and unstructured answers, and the issue appears to be that the retriever is failing to retrieve all relevant context. The engineer has already tried different embedding models and response-generation LLMs without success.

Which TWO of the following approaches could improve the quality of the responses? (Choose two.)