Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models

arXiv:2404.08695v1 Announce Type: new
Abstract: Efficient knowledge management plays a pivotal role in augmenting both the operational efficiency and the innovative capacity of businesses and organizations. By indexing knowledge through vectorization, a variety of knowledge retrieval methods have emerged, significantly enhancing the efficacy of knowledge management systems. Recently, the rapid advancements in generative natural language processing technologies paved the way for generating precise and coherent answers after retrieving relevant documents tailored to user queries. However, for enterprise knowledge bases, assembling …

abstract arxiv businesses capacity cs.ai cs.cl cs.ir efficiency enterprise indexing knowledge language language models large language large language models management organizations pivotal question question answering retrieval role systems through type vectorization