G-RAG: Knowledge Graph Expansion in Material Science

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📑 Read our paper: G-RAG: Knowledge Graph Expansion in Material Science

🎯 Accepted at MusIML Workshop, NeurIPS 2024 🎉

Overview

G-RAG is an improvement over recently published Graph RAG by Microsoft. G-RAG leverages a graph database to capture relationships between entities, enhancing the retrieval and contextual representation with feeding an additional knowledge base with the given knowledge base.

At first install the repo.

pip install git+https://github.com/RadeenXALNW/G-RAG_1.0.git

Shoutout to the authors of 🌟 👏

• ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
• Graph RAG by Microsoft