A new technical article shows how to reconstruct a missing table of contents from a PDF so RAG systems can scope retrieval by section. The approach targets a practical document problem: many PDFs contain useful structure that is not available as clean metadata.
That matters for retrieval quality. Section-aware chunking can help AI systems answer from the right part of a long document instead of mixing unrelated fragments from similar pages.
The work reflects a broader pattern in applied AI: better preprocessing and document structure often matter as much as the choice of language model.