Demos

The following demos show examples of Perfect Search’s speed, precision and performance.

White Paper

World Vital Records

Key value points: High performance, scalability and federation.
Overview: Perfect Search is the search engine that enables the blazing search of more than 1.5 billion records (60% structured data, 40% unstructured) for World Vital Records. The data comes from 20,000 data sources including OCR'd newspaper articles, books, and structured databases. The revolutionary technology of Perfect Search allows all of that handled on a single Windows 2003 server, 16GB memory, 5 10K RPM disks. All responses are sub-second, regardless of complexity of search.
Value to WVR: Easy replacement of Lucene; 7 to 1 reduction in hardware costs; the speed, performance and precision of Perfect Search dramatically reduced the cost of search in this critical part of their business.
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White Paper

Patent Demo

Key value points: Speed, precision, ease of use.
Overview: Perfect Search enables fast, relevant search of fielded or free form text of the 5.5 million granted patents from 1976 to 2006.
Value: Great example of search interface to help the user zero in on exactly what they are looking for.
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White Paper

ASCE

Key value point: Customize access to data.
Overview: This demonstrates an optimal user experience ranging from a single search box, to fielded search, to navigation tree guidance on search using data from the American Society of Civil Engineers. The result shows valid searches—both concrete and structural.
Value: Great example of search interface to help the user zero in on exactly what they are looking for.
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White Paper

Medical Records

Key value points: Search of complex data, with fast, accurate, in-depth results.
Overview: This Perfect Search powered Natural Language Processing International MedLEE™ demo shows very complex data that allows fielded search on medical transcription.
Value in medical space: This is a revolutionary example of providing Meaningful Use on patient records. Being able to take a medical transcription and fully analyze it in order to glean as much in-depth information as possible—utilizing all available data that historically has been unutilized.
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