Generative AI: Question Answering Accuracy on Enterprise SQL Databases
New benchmark examines LLM accuracy for Question Answering on Enterprise SQL Databases and the improvements offered by a Knowledge Graph
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Be the architect of your AI-driven future at "Blueprints for Generative AI."
The data.world Data Catalog Platform creates a map of what data exists in your organization and ties it to meaning – context and semantics. With your data and knowledge in a flexible, Knowledge Graph format, AI-powered applications have the rich context needed to generate accurate, explainable, governed responses.
Learn more with ArchieBy sharing enterprise meaning – context and semantics, a data catalog built on a Knowledge Graph boosts the relevancy and correctness of LLM responses.
Where LLMs were a black box, now they can literally show their work. With data.world, it’s possible to directly trace LLM responses to enterprise knowledge.
With proper governance in place with data.world, your organization can limit what LLMs can access — keeping confidential and proprietary information from being exposed.
A data catalog built on a Knowledge Graph complements the power of Large Language Models, combining trust and accountability with powerful language proficiency to enable scalable AI applications.
New benchmark examines LLM accuracy for Question Answering on Enterprise SQL Databases and the improvements offered by a Knowledge Graph
WPP, the largest advertising firm in the world, uses data.world with generative AI to rethink how it services clients, helping it stand out in an $800 billion market.
Learn how a data catalog built on a Knowledge Graph Architecture enables AI-ready data and creates the foundation for scalable AI applications.
A knowledge graph is the optimal foundation for enterprise AI and the only way to truly activate metadata. data.world is the only data catalog built on a knowledge graph architecture with a framework for embeddable AI bots that increases the automation for cataloging, data governance, and DataOps.
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