Knowledge graphs pick out important nouns in your data and connect them to things like projects, people, customers, and products. Each entity links to related information—documents, support tickets, and product specs—giving the system more context. This helps it tell similar items apart, like Gemini 2.0 Flash versus Gemini 2.0 Pro.

Enterprise knowledge graphs don’t just index content—they also capture rich metadata that adds context and meaning. Onetab AI builds these graphs using machine learning, understanding your enterprise apps and automatically identifying key entities. Everything happens within your own single-tenant environment, keeping your data private and secure.

Knowledge graphs organize data, while personal graphs show how people actually work. By tracking actions across apps, personal graphs reveal the tasks and projects behind them. This gives AI a bigger picture of work, helping Onetab AI create personalized agents that assist each employee more effectively.

Knowledge graphs capture your data, and personal graphs capture how people work. By mapping interactions, we uncover process knowledge that guides AI agents. These graphs are dynamic they adapt as roles, relationships, and workflows change, reflecting the real, evolving nature of work.