تقرير
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG
| العنوان: | Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG |
|---|---|
| المؤلفون: | Strand, Aleksander Theo, Gautam, Sushant, Midoglu, Cise, Halvorsen, Pål |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Information Retrieval, Computer Science - Multimedia, H.3, I.2.7, H.5 |
| الوصف: | The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This paper demonstrates SoccerRAG, an innovative framework designed to harness the power of Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to extract soccer-related information through natural language queries. By leveraging a multimodal dataset, SoccerRAG supports dynamic querying and automatic data validation, enhancing user interaction and accessibility to sports archives. We present a novel interactive user interface (UI) based on the Chainlit framework which wraps around the core functionality, and enable users to interact with the SoccerRAG framework in a chatbot-like visual manner. Comment: accepted to CBMI 2024 as a demonstration; https://github.com/simula/soccer-rag. arXiv admin note: text overlap with arXiv:2406.01273 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.01280 |
| رقم الأكسشن: | edsarx.2406.01280 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |