UiPath has taken its Agentic Automation vision one step further by introducing the UiPath Labs platform.
Labs emerges as an innovation space where developers and consultants can experiment with early-access AI capabilities that are not yet publicly available — exploring, testing, and shaping the future of automation.
One of the most compelling components of this platform is the Enterprise Knowledge Graph (EKG).
What is the Enterprise Knowledge Graph?
The EKG connects enterprise data through meaningful relationships, enabling agents to understand context, reason intelligently, and form cause-and-effect connections within systems.
UiPath defines this framework in three steps:
Connect with Data – Integrate enterprise data sources.
Optimize the Knowledge Graph – Visualize and refine entities and their relationships.
Converse with Data Agents – Interact naturally with agents using conversational language.
Thanks to this structure, interactions with data are no longer limited to SQL queries — they now happen through context-aware, natural language conversations powered by AI agents.
For Exploration:
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