Shypd.aiThe largest open index of AI toolsG-Retriever is an Open Source AI tool that provides a retrieval-augmented generation framework for textual graph understanding and question answering. It integrates Graph Neural Networks, Large Language Models, and RAG for various applications.
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G-Retriever is an open-source framework designed for retrieval-augmented generation (RAG) in the context of textual graph understanding and question answering. It is the official implementation of a NeurIPS 2024 paper and combines the strengths of Graph Neural Networks (GNNs), Large Language Models (LLMs), and RAG. The tool is applicable to multiple real-world scenarios, including scene graph understanding, common sense reasoning, and knowledge graph reasoning. G-Retriever can be fine-tuned to enhance graph understanding through soft prompting, offering flexibility for researchers and developers working with complex textual data structures.
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