Semantic Search is an information retrieval approach that understands the meaning, context and intent behind a user's search query rather than relying solely on exact keyword matches. It uses contextual relationships, language understanding and relevance analysis to deliver more accurate and meaningful search results.
In the context of a Document Management System (DMS), Semantic Search enables users to locate documents based on meaning, context and intent instead of exact filenames or keywords. By leveraging technologies such as metadata, Natural Language Processing (NLP), Artificial Intelligence (AI) and content analysis, a DMS can understand document context and return more relevant results, improving document discovery and information accessibility.
Semantic Search enhances information retrieval by understanding the meaning and context behind search queries rather than relying solely on exact keyword matching. Within a Document Management System, it improves document discovery, delivers more relevant search results and enables users to locate information more quickly and efficiently across large document repositories.
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