Full-Text Search
Search that matches the literal words in your query against the words in the documents — the classic keyword-based search.
Full-Text Search
Full-text search is the classic keyword-based search: you type a word; the system finds documents containing that word. Modern full-text search includes stemming (matches “run” with “running”), stop-word handling, ranking (more relevant matches first), and proximity (words close together rank higher).
Papyrus uses SQL Server Full-Text Search for full-text indexing of every document's body (OCR-extracted where needed), title, metadata, tags, and comments. Queries support: phrase (“exact match”), boolean (AND/OR/NOT), wildcard, and proximity.
Full-text search is excellent for: known terms (invoice numbers, names, references), recently-uploaded documents the user remembers exactly, and documents with unique vocabulary.
It is less useful for conceptual questions where the document doesn't contain the exact words you're searching for — that's where semantic search shines.