LeafData: An Agentic System for Data Migration

Abstract:Modern data migration relies on JSON configuration to define data connection, pipeline logic, and orchestration behavior. This requires domain knowledge from users and is time-consuming and error-prone. In this paper, we present LeafData, an agentic system that converts user intent into validated and executable JSON configuration for data migration. Specifically, LeafData comprises a frontend chatbot and the backend service. The chatbot incrementally collects required information from users and performs schema-driven validation, while the backend service processes validated inputs and generates JSON configuration artifacts. These artifacts are directly consumable by orchestration platforms, enabling end-to-end pipeline generation and execution without manual coding. LeafData supports heterogeneous data migration across various data sources and connectors including relational databases, file-based systems, document-oriented databases, and REST APIs.

Artificial Intelligence (cs.AI)

arXiv:2607.21618 [cs.AI]

(or arXiv:2607.21618v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2607.21618 arXiv-issued DOI via DataCite (pending registration)