Soccer-GraphRAG: Applications of GraphRAG in Soccer
Chapter, Peer reviewed, Conference object
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Date
2024Metadata
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https://doi.org/10.1007/978-3-031-71382-8_1Abstract
In the realm of soccer analytics, the need for efficient and accurate information retrieval is crucial. In this paper, we introduce Soccer-GraphRAG, a framework designed to facilitate the retrieval of soccerrelated information through natural language queries. This system leverages knowledge graphs, created from the recently released SoccerNet-Echoes dataset which includes transcriptions of soccer game audio commentaries. Soccer-GraphRAG aims to streamline the retrieval, access, and analysis of soccer data, providing insights with precision and contextual relevance. This framework is ideally suited for analyzing player performance, as well as for engaging in question answering (Q&A) and summarizing tasks.