How document indexing works, methods, implementation, & more

This post elaborates on the core concepts of document indexing, its importance, and the industries that benefit from it. It clearly differentiates indexing from scanning and details common indexing methods (manual, metadata-based, OCR-based, automated). The post also outlines common challenges in document indexing such as inconsistent tagging, human error, poor metadata quality, and unscannable documents. Crucially, it provides a practical, step-by-step guide on implementing automated document indexing with Meilisearch, covering document preparation, metadata extraction, indexing, custom ranking, and real-time updates.