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Artificial Intelligence Masterclass

Beyond Vector Search: Knowledge Management with Generative AI

Feb 20, 2025
Explore the shortcomings of traditional vector search technology in knowledge management. Discover how integrating generative AI can enhance organizational strategies while prioritizing context and accuracy. Learn about effective data management practices, from ETL processes to information foraging, and gain insights into maintaining updated metadata for better decision-making. This discussion offers a comprehensive approach to navigating the evolving landscape of AI solutions.
26:15

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Quick takeaways

  • Data ontologies facilitate better communication and understanding of data structures within organizations, enhancing decision-making processes.
  • Factual grounding in generative AI systems reduces hallucinations and ensures more accurate outputs by adhering to predefined truths and frameworks.

Deep dives

Understanding Data Ontologies

Data ontologies refer to the philosophical and theoretical frameworks for characterizing and categorizing data within an organization. They establish the hierarchy of information and how various types of data relate to one another, enabling users to grasp the essence and context of the data they are handling. For example, users need to discuss data categories with database administrators to address issues surrounding text data versus quantitative data, as both hold significant value in the generative AI landscape. By employing ontologies effectively, organizations can ensure better communication about data's structure and purpose, ultimately guiding decision-making processes.

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