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Towards Agentic Schema Refinement

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arxiv 2412.07786 v1 pith:5HQZFXUF submitted 2024-11-25 cs.DB cs.AI

Towards Agentic Schema Refinement

classification cs.DB cs.AI
keywords viewsdatabasedatabaseslargeschemaactingagenticagents
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Large enterprise databases can be complex and messy, obscuring the data semantics needed for analytical tasks. We propose a semantic layer in-between the database and the user as a set of small and easy-to-interpret database views, effectively acting as a refined version of the schema. To discover these views, we introduce a multi-agent Large Language Model (LLM) simulation where LLM agents collaborate to iteratively define and refine views with minimal input. Our approach paves the way for LLM-powered exploration of unwieldy databases.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Toward Multi-Database Query Reasoning for Text2Cypher

    cs.DB 2026-05 unverdicted novelty 5.0

    A three-phase roadmap formalizes multi-database reasoning for Text2Cypher to handle questions spanning independent graph databases.