Azure Layout workflow targets tables that basic PDF parsers miss

A new Towards Data Science article walks through using Azure Layout to parse PDF tables for RAG workflows when PyMuPDF misses the structure.

The problem is practical. RAG systems often fail before retrieval or generation because the document was flattened, split poorly, or stripped of table relationships during ingestion.

Better layout-aware parsing can preserve the structure that answers depend on, especially in PDFs where tables carry the most important evidence.