Software technical knowledge is often fragmented across PDFs, code repositories, and Web documentation. This work presents a hybrid retrieval-augmented generation system for answering design-focused questions over heterogeneous technical sources. The prototype combines semantic search across multiple knowledge sources with source preservation and attribution to reduce hallucinations. An initial evaluation on software-design questions indicates accurate answers and effective source attribution, particularly when information must be combined across sources.