Sign inGet started
Paper · arXiv

LeafData: An Agentic System for Data Migration

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 platform...

AuthorsSadanand Katukuri, Rajasekhar Bada, Navya Induri et al.
Primary categorycs.AI
Published31 May 2026
Last updated at source31 May 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/83b316a3-bdca-4059-b4d6-ae309df63602" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.