Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language

arXiv:2403.18350v1 Announce Type: new
Abstract: The latest advancements in machine learning and deep learning have brought forth the concept of semantic similarity, which has proven immensely beneficial in multiple applications and has largely replaced keyword search. However, evaluating semantic similarity and conducting searches for a specific query across various documents continue to be a complicated task. This complexity is due to the multifaceted nature of the task, the lack of standard benchmarks, whereas these challenges are further amplified for Arabic …

abstract applications arabic arxiv concept cs.cl deep learning evaluation however language machine machine learning multiple query rag role search semantic type