Escalating cheap parses to Azure and vision LLMs stops AI hallucinations
A pipeline first runs a $0.01 PyMuPDF parse, then boosts only pages where deterministic checks miss answers. Escalating those to Azure Document Intelligence for tables or a vision LLM for figures cuts costly hallucinations and boosts correctness, as shown on a real table and figure case study.