Kyndi Solutions for the Public Sector
Kyndi Natural Language Search is the first end-to-end cognitive search offering designed to maximize the relevancy and speed of finding answers in unstructured, text-based data. Unlike traditional keyword-based search and other natural language-enabled alternatives, Kyndi’s solution is easily tuned and optimized to work in specific domains and applications, allowing organizations to realize tangible business value immediately from their AI investments. Kyndi Natural Language Search offers user-friendly explanations (Explainable AI) which provides contextual information on the underlying data to ensure transparency and auditability.
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Natural Language Understanding (NLU)
Cognitive techniques that understand the nuances of language, allowing search to return relevant and comprehensive results
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Query Resiliency
Consistent results for a question regardless how it is phrased
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User Intent
Understands the intent of certain phrases and returns context-aware results. For example, “Who is the leader of England?” will return the name of a person even though “name” and “England” are not in the answer.
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Explainability
Navigates to relevant sentences within source documents that contain the information users are looking for; explains why a specific answer was selected to help easy tuning and optimization without technical resources
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Easy to Use and Manage
No labeling or model training