[Submitted on 31 May 2026]

Authors:Sadanand Katukuri, Rajasekhar Bada, Navya Induri, Rohit Gandham, Lynette Pinto, Joses Selvan, Abishek Krishnamoorthy, Joseph Rozario, Pu Tian, Pavan Poudel, Yalong Wu

View PDF HTML (experimental)

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.

Submission history

From: Pu Tian [view email]
[v1] Sun, 31 May 2026 11:40:55 UTC (1,050 KB)