One Document Type, a Million Files: Structured Extraction into the SQL Table RAG Queries

For large collections of similar documents like contracts, the most important data fields are already known by the people who work with them every day. You can build a powerful, searchable database schema by interviewing these handlers to identify the key fields they use for lookups, such as client name or effective date. A truly reliable column is one that handlers can name instantly and consistently, distinguishing it from ambiguous fields or those frequently left blank. This process creates a structured index that functions like a table of contents for the entire document set, allowing you to filter down to the right files before any content is even read.