SQL2Graph Agentic Migration: From Relational Thinking to Graph Reasoning

The SQL2Graph Agent is a migration tool designed to automate the transformation of relational databases into graph structures, particularly for use with Memgraph. It addresses the challenge of shifting from relational to graph reasoning by automating schema analysis, graph model generation, and data validation through a combination of deterministic and AI-powered strategies. This agent leverages Hypothetical Graph Modeling (HyGM) and employs large language models (LLMs) to facilitate pattern recognition and reasoning, offering two modes: a fully automated mode and an incremental mode that incorporates user feedback. The system ensures data integrity and schema consistency through iterative validation processes, making it easier for developers to convert relational data into graph models without in-depth knowledge of graph databases. The agent is Python-based, utilizing LangGraph workflows for orchestration and Memgraph Mage migration modules, and it supports seamless integration with existing relational systems like MySQL and PostgreSQL.

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