Domain-specific question answering refers to the branch of natural language processing focused on developing computational systems that interpret and answer queries within specialized subject areas or professional fields, such as medicine, law, finance, and engineering. Unlike open-domain systems designed for general knowledge, domain-specific question answering relies on targeted corpora, specialized terminologies, and domain-specific knowledge bases to address complex technical inquiries. These systems emphasize high factual accuracy, domain-appropriate reasoning, and verifiable source attribution to meet the precise informational requirements of practitioners in high-stakes environments where inaccurate information can lead to severe consequences.
