Update README.md

README.md

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-The GFM-RAG is the first graph foundation powered RAG pipeline that combines the power of graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering.
+The GFM-RAG is the first graph foundation model-powered RAG pipeline that combines the power of graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering.
 
 We first build a knowledge graph index (KG-index) from the documents to capture the relationships between knowledge. Then, we feed the query and constructed KG-index into the pre-trained graph foundation model (GFM) retriever to obtain relevant documents for LLM generation. The GFM retriever experiences large-scale training and can be directly applied to unseen datasets without fine-tuning.