Graph based Retrieval Augmentation for Education and Learning
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Date
2024
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Abstract
Graph-based knowledge representation has emerged as a powerful technique for
organizing and structuring information in a way that captures rich semantic relationships.
By representing knowledge as a network of interconnected nodes and edges, graph
structures allow for efficient encoding of complex conceptual associations and
hierarchies. This approach has significant implications for information retrieval and
generation tasks, particularly in the realm of retrieval augmented generation.