Document Parsing
The automated process of extracting structured text, metadata, and visual elements from unstructured files like PDFs to prepare them for machine processing.
Think of It Like This
Like a librarian reading through a messy pile of handwritten letters and neatly typing out the author, date, and main points into a spreadsheet.
In Retrieval-Augmented Generation (RAG) pipelines, document parsing is a foundational step that directly impacts the quality of the final system. Modern parsers must handle complex layouts, including tables, figures, and multi-column text. Accurate extraction ensures that downstream embedding models receive clean, semantically coherent context.