Document search: filename vs full-text (how to set it up)

    A practical guide to document search for Dubai/UAE teams: when filename search is enough, when you need full-text search, and how tags and entity types reduce noise.

    Search fails when it assumes people remember filenames.

    In real operations, people remember:

    • a vendor name
    • a PO number
    • a topic (“payment proof”, “delivery note”, “insurance”)
    • a phrase inside the PDF

    Start here:

    Filename search: good for short queries and identifiers

    Filename search works well when:

    • Teams use a consistent naming convention
    • The searcher knows an identifier (PO number, invoice number)

    It also works well for short queries like:

    • PO-00123
    • INV-8842

    Full-text search: needed when the filename is not enough

    Full-text search matters when:

    • Teams need to search for phrases inside a document
    • The file was uploaded with a generic name (scan.pdf, image.jpg)

    Important: full-text search only works when the content is available in the search index.

    Filters reduce noise more than “better search”

    Two filters are usually more impactful than any search algorithm:

    1. Entity type (what workflow the document supports)
    2. Tags (how teams classify and retrieve)

    Example:

    Search for “payment” becomes much more usable if you filter to:

    • entity type = invoice
    • tag = evidence

    Next steps

    If your search results are noisy, fix classification first:

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