Graph based Retrieval Augmentation for Education and Learning

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dc.contributor.authorDHARSHAN AN : 1NH20AI026
dc.contributor.authorG SAI CHARAN: 1NH20AI031
dc.contributor.authorJAYAVIBHAV NK: 1NH20AI035
dc.contributor.authorK MANISH : 1NH20AI038
dc.date.accessioned2024-11-14T06:28:14Z
dc.date.available2024-11-14T06:28:14Z
dc.date.issued2024
dc.description.abstractGraph-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.
dc.identifier.urihttp://192.168.75.5:4000/handle/123456789/16379
dc.titleGraph based Retrieval Augmentation for Education and Learning
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