Infrastructure vs. Models
Semantic Chunking for Document RAG Pipelines
Bad chunk boundaries tank RAG accuracy more than model choice.
Callum Ferris
· 11 min read
Document Infrastructure Review — Page 3
Why Vision Language Models Are Not Enough for Production Document Extraction
Hallucinations that pass validation checks pose bigger risks than raw accuracy metrics reveal.
Adaeze Nwofor
Document AI for BFSI Production Pipelines
Regulators demand accountability at every step of document processing, not just faster data capture.
Tomáš Hrubeš
Benchmarking Methodology Standards for Document AI Accuracy Claims
Standardized testing reveals why vendor accuracy claims aren't comparable.
Adaeze Nwofor
Table Extraction Vendor Comparison for Scanned PDFs
Two competing architectures determine which vendor succeeds on scanned PDFs.
Adaeze Nwofor
Open-Source vs. Commercial Document Extraction APIs
Accuracy and engineering time, not license fees, determine which tool wins.
Priya Subramaniam
Specialist Document AI vs. General-Purpose LLM APIs
Spatial reasoning problems favor specialist document AI over scaled general models.
Priya Subramaniam
Document AI Vendor Landscape for Enterprise Pipelines
Most vendors stop at extraction, leaving the layers that determine production reliability unbuilt.
Tomáš Hrubeš