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About DatusAI

Data engineering is shift from “building tables & pipelines” to “building scoped, domain-aware subagents for DA/business users. LLMs hallucinate without context, and data engineers are buried in repetitive queries and validations. Datus builds a context engine — combining metadata, metrics, SQL history, and external knowledge into a unified agent environment. A feedback-driven learning loop continuously evolves both the context and the model. Each subagent serves as an ideal environment for reinforcement learning, since NL2SQL tasks provide clear rewards — but the real challenge lies in defining the right scoped environment, and that’s where Datus excels. See more : https://docs.datus.ai/