Logikcull supports the following search operators:

Phrases
Boolean operators
Wildcards
Fuzzy terms
Proximity
Term boosting
Fields


You can always reach us with specific search questions and for assistance with putting together syntax by contacting our support team via the in-app chat.

Phrases:

Encapsulate a group of words with double quotes "" to search exactly that combination of words. 

Example: "hello john" will return all records where "hello" and "john" are grouped as "hello john".

Keep in mind, using quotations will find exact hits on the terms included, while grouping terms together (or searching against individual terms) without quotations, will display hits in which those terms are included as part of a larger string of text. For example, hello john (no quotations), may return results similar to "Why hello john" or "hello john doe". 

Boolean Operators:

You can use AND, OR, NOT when combining terms. 

Example: ((beans OR rice) AND NOT "snow peas") will return all records with beans OR rice AND that do NOT contain the words "snow peas."

Wildcards:

Perform multiple character wildcard searches using the asterisk, * , symbol. Use the question mark, ? , symbol for single character wildcard searches. 

Example 1: bean* will return beans, beanies, beanbags, etc. 

Example 2: b?an will return bean, bran, bian, etc. 

Note: For projects created prior to 5/22/2016, you can't use a wildcard search within a phrase search (i.e. "bean* soup" will not work).

Fuzzy Terms:

To find words with similar spellings, use the tilde, ~ , symbol at the end of the term. Add a value between 0 and 1 to alter the level of similarity. 

Example: need~0.3 may return needle, neading, meeting, etc. Whereas need~0.8 may only return need, nead.

Proximity:

To find words within a specific distance use the tilde, ~ , symbol at the end of a phrase plus the number of words within. 

Example: (beans rice)~10 will return all records where beans or rice are within 10 words of each other.

Term Boosting:

Increase the relevance of returned records by adding the caret, ^ , symbol with a boost factor, a number, at the end of a term you are searching. The higher the boost number the more relevant the term will be. 

Example: beans^5 rice will make the records with the words "beans" more relevant.

Fields:

Use a variety of Logikcull-specific metadata fields to filter your results. Type the exact field name followed by the colon, : , symbol. 

Example: language:Japanese will return all records that are flagged as having Japanese text. Field syntax is available via advanced search and some example fields are listed below:

file_name
file_id
file_fields.author
email_fields.from
file_path
file_fields.date_created
file_fields.revision_number
email_fields.to
file_extension
file_fields.time_created
file_fields.last_saved_by
email_fields.cc
file_size
file_fields.date_modified
page_count
email_fields.bcc
file_type
file_fields.time_modified
processing_flag
email_fields.subject
language
file_fields.date_printed
tags
email_fields.read
document_date
file_fields.time_printed
document_type
email_fields.importance
deduplication_checksum (Hash)
file_fields.title
text
email_fields.subject_prefix
email_fields.sensitivity
email_fields.entry_id
email_fields.conversation_id
email_fields.date_sent
email_fields.date_received
email_fields.date_created
email_fields.date_modified
email_fields.read_receipt
download_name
download_doc_id

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