RManLuo / gfm-rag

What it does

• Graph Foundation Model (GFM). A graph neural network-based retriever that can reason over the graph-index.
• Universal Graph Index. A universal graph index that can represent various types of structural knowledge such as Knowledge Graphs, Document Graphs, and Hierarchical Graphs.
• Efficiency. The GFM-RAG pipeline is efficient in conducting multi-hop reasoning with single-step retrieval.
• Generalizability. The GFM-RAG can be directly applied to unseen datasets without fine-tuning.
• Transferability. The GFM-RAG can be fine-tuned on your own dataset to improve performance on specific domains.