In an era where information overload is a daily struggle, semantic search has emerged as a beacon of hope for those seeking more precise, context-aware search results. Traditional keyword-based searches often yield an overwhelming number of irrelevant results, leaving users frustrated and unsatisfied. Semantic search, on the other hand, aims to understand the user’s intent and the context of their query, leading to more relevant and meaningful search results. InfoWorld brought this interesting information to our attention in their article, “Oracle’s Database 23c gets vector search to underpin generative AI use cases.”
At its core, semantic search is a way of searching that seeks to understand the meaning behind the words and phrases used in a search query. One of the most remarkable aspects of semantic search is its ability to consider context. By understanding the context of a user’s query, semantic search can provide results that are highly tailored to the user’s needs.
At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative, and precise semantic discovery of your new and emerging concepts. We help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.