EvoOntology for Data Agents
EvoOntology solves the critical challenge of semantic drift in data agents by creating a versioned, evolvable knowledge layer that accumulates evidence from real workloads. For developers working with heterogeneous data systems, this approach provides a practical method to maintain semantic accuracy without constant manual intervention or context window limitations.
