pb82836/EDAG_AI_WIKI

Contributor guide for the EDAG AI Knowledge Base Wiki. It explains how EDAG engineers, data scientists, researchers and other internal contributors add resources (documentation, models, scripts, papers, datasets) via a web upload form or Git workflow. Key features: an automated "Deep Extraction" pipeline that converts uploaded binaries into companion .md files for full-text indexing by the EDAG AI Curator Agent (Haiku 4.5); supported extraction behaviors for PDFs, DOCX, PPTX, XLSX, images, 3D/CAD, notebooks, code, archives and HTML; preservation of original files with source links and agent-accessible download URLs. Also specifies repo folder structure, required metadata block, documentation/testing standards for code and models, GDPR/data-minimization guidance, and a PR template/checklist.