GraphRAG is a Retrieval-Augmented Generation system that uses graph-based knowledge representation to enhance the accuracy, context awareness, and explainability of responses to complex queries. It constructs a knowledge graph from input documents, utilizes graph traversal algorithms and language learning models (LLMs), and offers visualizations of information connections. This approach preserves context, enables intelligent information traversal, and provides visual explanations, making it especially effective for handling complex and long documents.
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