Retrieval Augmented Generation for Domain-specific Question Answering

arXiv:2404.14760v1 Announce Type: cross
Abstract: Question answering (QA) has become an important application in the advanced development of large language models. General pre-trained large language models for question-answering are not trained to properly understand the knowledge or terminology for a specific domain, such as finance, healthcare, education, and customer service for a product. To better cater to domain-specific understanding, we build an in-house question-answering system for Adobe products. We propose a novel framework to compile a large question-answer database and …

abstract advanced application arxiv become cs.ai cs.cl cs.ir cs.lg customer customer service development domain education finance general healthcare knowledge language language models large language large language models product question question answering retrieval retrieval augmented generation service terminology type