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What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is a technique that combines information retrieval with generative models. It addresses the limitation of storing all knowledge within a single model's parameters by first retrieving relevant information from an external knowledge source and then using this conte ...

GraphRAG Data Construction Pipeline The GraphRAG framework implements a sophisticated multi-stage pipeline for transforming unstructured documents into rich, interconnected knowledge graphs. The construction process follows a carefully orchestrated sequence of transformations, each leveraging large language models for intelligent information ex ...