Products

 
Search-based applications for enterprise and knowledge workers.

Key Features

Q-Sensei Enterprise, our enterprise search platform, consists of an encompassing set of modules for data organization and search, which offer a high degree of flexibility and openness. Our platform is designed for easy implementation within any enterprise large or small, with complex or simple IT environments.

Feature

Data Import

  • Standard connectors for XML, CSV, SharePoint, Office Files, OAI-PMH and RSS Feeds
  • Import modules can be easily adapted and connected to any source of unstructured or structured data from CRMs, CMS, SharePoint, business intelligence, etc.


Feature

Data Processing

  • Ontology-based data processing and configuration. Enables use of RDF and OWL resources to give a uniform configuration interface and define the structure of the content. Enables faster integration of new data and development of new search-based applications using the power of existing functionality. Enhances platform performance -- improving speed and efficiency of data processing.
  • Rich document parsing and indexing (Word, XLS, PPT, PDF, etc.). Metadata, structural information (e.g. headings, titles, captions) and the full text of electronic documents are extracted and processed.
  • Extensible plug-in architecture includes modules for Named Entity Extractions, Keyword Extractions, Normalization and Term Translations. Company-owned vocabularies, glossaries and other existing tools can be conveniently integrated.


Feature

Indexing

  • Fulltext search and fielded search (e.g. author, title, date, language, type, data, etc.) are supported
  • Unique functionality of multi-dimensional, real-time multi-select faceted searching and filtering
  • Auto-suggest functionality within and across facets
  • Content based auto-complete
  • Multi-select faceting with real-time preview along with real-time, interactive preview of all remaining facets
  • Boolean Search Operators and truncation are supported
  • Search results can be sorted by any field
  • Index technology can also be integrated into other services via RESTful JSON API
  • Configuration of available indexes and display settings are conveniently supported
  • Extensible plug-in architecture supports custom indexes
  • Distributable query processing


Feature

Supported Storage Backends

  • Q-Sensei connects with multiple storage solutions (e.g. Hadoop/HBase, Redis, and MongoDB) to store metadata, user-generated content, version histories, etc.


Feature

Interface

  • Machine Interface RESTful JSON-based Platform API)
  • Web-based User Interface (HTML, JavaScript)
  • New configuration options/application configuration (for administrators):
  • Unified RDF-based configuration (for all purposes) using a unified interface
  • Further settings can be done in a special interface


Feature

Security/Access Control

  • Q-Sensei integrates with a wide range of existing authentication methods: OpenID, Facebook Connect, LDAP etc. Customer-specific user access rights management can be conveniently integrated.


Feature

Integrated Platform Features

  • Collaboration tools to add, update and delete databases and/or individual data records as well as review or comment on data records
  • Various widgets to conveniently integrate data into third party websites, Facebook, iGoogle, WordPress, Blogger, or a corporate Intranet.


Feature

System Requirements

  • An index for up to 50 million documents can be served with one machine (e.g. Intel Nehalem 4x, 16GB RAM, 1TB)
  • Tailored solutions for organizations with larger amounts of data are also available
  • Linux