Shypd.aiThe largest open index of AI toolsKG_RAG is an open-source AI agent tool that empowers Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG). It provides a task-agnostic framework for knowledge-intensive tasks, particularly in biomedical domains.
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KG_RAG is an open-source framework designed to enhance Large Language Models (LLMs) through Knowledge Graph-based Retrieval-Augmented Generation (KG-RAG). It integrates the explicit knowledge from a Knowledge Graph (KG) with the implicit knowledge of an LLM, making it particularly effective for knowledge-intensive tasks. The framework extracts "prompt-aware context" from KGs, such as the massive biomedical SPOKE KG, to provide LLMs with minimal yet sufficient context for user prompts. This approach significantly improves the accuracy and relevance of LLM responses, as demonstrated in use cases comparing GPT with and without KG-RAG. The tool is currently optimized for disease-related prompts and includes a benchmark dataset, BiomixQA, for validation.
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