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Qlik Answers™

Qlik Answers™ is a personalized AI assistant that generates on-point answers from your own trusted business content. Even novice users can build their first assistant in less than 20 minutes.
Delivered by partner: Qlik

Qlik Answers is a generative AI-powered knowledge assistant designed to provide business users with personalized, contextually relevant answers from unstructured data. This plug-and-play solution leverages Qlik Cloud’s security and governance features, ensuring reliable and consistent responses. With Qlik Answers, users can quickly build their own AI assistant, which integrates seamlessly with existing business documentation and platforms. The assistant offers full explain ability, linking answers to their source content, and includes a built-in review process to continually improve response quality.

Trusted Data Connections
Qlik Answers relies on your existing business documentation to provide insight. Built-in connectors with Amazon, Azure, Dropbox, Google, and Sharepoint make it easy for you to point to data in a variety of systems and platforms right out of the box.
Fully Managed Knowledge Base
Your content is indexed where it resides — no need to move it. Simply create a new knowledge base in Qlik Cloud® and link it to an assistant. Access to individual knowledge bases can be controlled at the user level for enhanced data governance.
Embeddable Assistant
While Qlik Answers is easy to access and use within Qlik Cloud, you can also use market-leading API connectors to allow existing Qlik users to ask questions directly within the platforms they use each day — CRM, service desk, intranet and more!
Explainable Answers
Users ask questions and are provided generative answers supported by direct links to the source content that the answers were extracted from. Users can quickly read a summary of the content or download the source file for deeper exploration.
Built-in Review Process
Collect user feedback right at the point of answer. Administrators can see what questions users are asking, if the answers were considered helpful, and then use that feedback to improve the quality of future responses.
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