Overview
This page is a scaffold for a future case study about document intelligence pipelines. It is intended to hold a polished narrative around extraction quality, scale, data preparation, and downstream usability.
The content direction is informed by work with entity extraction, embeddings, KNN retrieval, custom scrapers, model fine-tuning, and summarization workflows for large environmental document sets.
Direction
The future version should explain the pipeline architecture, evaluation approach, data quality controls, and how raw documents become structured outputs useful to analysts or product surfaces.