Indica supports searching within specific fields extracted from you documents. Examples are the file name of a document or the subject of an email document. When performing a search you can specify a field. We a field is not specified, Indica will search in all fields.
You can search any field by typing the field name followed by a colon ":" and then the term you are looking for.
As an example, let’s assume you would like to search for a document with the file name "Searching_is_fun.docx", you can enter:
file_name: "Searching_is_fun.docx"
Note: The field is only valid for the term that it directly precedes, so the query
file_name:Searching is fun.docx
Will search for files with the file name "Searching". It will additionally search for the words “is” and “fun.docx” in any of the fields.
Available fields
The fields that are currently available to search are the following:
— content (all text extracted content from objects)
— file_name (file name)
— full_name (full path and file name)
— type (eg. “mail” “document” “spreadsheet” “presentation” etc. )
— collection (collection name)
— mime_type (mime type of the document)
— date (yyyy-mm-dd)
— email_from_string (email adres in From field)
— email_to_string (email adres in To field)
— email_cc_string (email adres in CC field)
— email_bcc_string (email adres in BCC field)
— emailHeader_recieved (ip address)
— tags (search for specific tags)
Specific field searches:
— To search all emails with an attachement: content:"Extracted text from attachment"
— To search attachments: filterString_email_attachment:true
— To search for all untagged documents:
tags:(-*)
Field Grouping
Indica supports using parentheses to group multiple clauses to a single field.
To search for a file name that contains both the word "return" and the phrase "pink panther" use the query:
file_name:(+return +"pink panther")