Data GenAI Readiness

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The problem

GenAI fundamentally transforms how data is accessed and leveraged, while Large Language Model (LLM) frameworks operate optimally with data structured and stored in specific formats such as Vector Databases. Since existing data wasn’t initially tailored for use with GenAI solutions, teams often need to undertake additional data processing steps. Neglecting to address this requirement can lead to unsuccessful GenAI initiatives and project failures.

The solution

With Content Intelligence, not only is your data automatically extracted and processed but importantly it is assessed and filtered for quality so that it is ready for consumption by any LLM framework.

[ Steps to solution ]

Content Intelligence simplifies integration processes through its 15 pre-built connectors, allowing teams to seamlessly integrate content from various enterprise data sources into a unified semantic layer. Content Intelligence supports all common enterprise file formats as well as different data modalities such as images and tables. Maximize the value of your data no matter the source or type and without the need for manual information extraction procedures.

Content Intelligence assesses content quality and identifies potential risks such as conflicting and outdated information, as well as scans for the presence of private or internal use only data. By leveraging Content Intelligence scores, you can proactively address content issues and improve the quality of your data powering GenAI.

Content Intelligence adopts an API-first approach and provides thorough developer documentation and SDKs for Python and Javascript, facilitating integration with any Conversational AI system or LLM framework. This ensures Content Intelligence readily fits into your GenAI tech stack. A Content health dashboard enables you to monitor the health of your data and continuously improve your knowledge source.