Data Ontology defined: The context layer your AI agents are missing

This post introduces the concept of a Data Ontology as a crucial context layer for AI agents, addressing the limitations of current search functionalities. It details how a structured ontology, defining entities, relationships, and semantics, can significantly improve an agent's ability to understand and retrieve relevant information. The post outlines the technical challenges and potential solutions for building and integrating such an ontology, emphasizing its role in enabling more sophisticated reasoning and task completion for AI agents. This builds upon the existing Agentic Search Integration capability by providing a foundational layer for more intelligent and context-aware search.