Enterprise document intelligence teams often ship PDFs that include a printed table of contents but omit the machine‑readable outline. When a PDF’s native outline is missing, the system’s toc_df remains empty, forcing the retrieval engine to fall back on blind page breaks. This mismatch throws off section‑level chunking, summarization, and scope‑by‑section queries.

The article outlines a three‑step fallback: first, detect a native outline; second, scan for a clickable contents page; third, parse a printed table of contents. The second case—clickable links—solves the page‑alignment problem automatically, as internal link targets reveal the exact physical pages without any language model intervention.

When links are absent, the author recommends a dot‑leader density heuristic to locate the contents page, then regular expressions to extract title‑page pairs. Once the printed labels are mapped to actual page numbers, toc_df regains its hierarchical structure, enabling accurate chunking, retrieval, and summarization downstream.

By restoring the TOC, the system no longer defaults to page‑based segmentation, and downstream modules can rely on true section boundaries. This precise reconstruction improves answer quality in RAG pipelines, ensuring that each returned snippet aligns with the document’s intended logical flow.