Released: Sep 6, 2018

V18.9 での更新項目

機能

• Added the ability to extract a list of indexed documents.
• Added the ability to extract document text.
• Added functionality to save encodings.

Released: Aug 8, 2018

V18.8 での更新項目

機能

• Added the ability to cancel operations in all indexes in the index repository.

Released: Jul 16, 2018

V18.7 での更新項目

機能

• Use morphological word forms when searching.
• Added possibility to break updating or merging operation manually.
• Added possibility to break indexing with a cancellation object.

Released: Jun 19, 2018

V18.6 での更新項目

機能

• Added the ability to break indexing operations manually.
• Added ImportDictionary and ExportDictionary methods to index dictionaries.

不具合の修正

• Removed obsolete Relevance property from DetailedResultInfo.

Released: May 14, 2018

V18.5 での更新項目

機能

• Added the ability to search by parts (chunks) which makes it possible to get results much faster.
• Added the ability to specify the number of search threads.
• Added SearchingTime field to SearchResults.

Released: Apr 9, 2018

V18.4 での更新項目

機能

• Index text documents that are more than 1 TB in size.

Released: Feb 7, 2018

V18.2 での更新項目

機能

• Added compact index features.
• Added option for multithreaded indexing.
• Improved index structure to increase indexing speed.

Released: Jan 9, 2018

V18.1 での更新項目

機能

• Cancel search operations by request or after a certain time.
• Added new search method where the query parameter is in the form of an object tree.
• Set a collection of date formats for date range search. E.g. dd.MM.yyyy, MM/dd/yyyy, 'yyyy-MM-dd.
• Changed search query date format in accordance with ISO 8601. The new date format is 'yyyy-MM-dd'.
• Use wildcards in phrase searching.

Released: Dec 11, 2017

V17.12 での更新項目

機能

• Improved exact phrase search results.
• Improved calculation of search result relevance.
• Improved search query syntax.
• Added highlighted results for exact phrase searching.

Released: Nov 9, 2017

V17.11 での更新項目

機能

• Added support for MSG, EML and EMLX file formats.
• Improved indexing PDF documents.
• Implemented metadata indexing.