machuangtao/KG-RAG4SM
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
This project helps data professionals, data engineers, or analysts integrate data by automatically finding corresponding fields (schema matching) across different datasets. It takes your source and target schema information and uses external knowledge graphs to suggest the best matches, significantly speeding up the data integration process. The output is a set of proposed schema mappings that align disparate data.
Use this if you regularly face the challenge of aligning columns or fields between different databases, spreadsheets, or data sources, and you want to automate this process using advanced AI.
Not ideal if your data integration tasks are simple, infrequent, or do not require referencing large external knowledge bases for mapping complex schemas.
Stars
15
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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