India, June 24 -- Enterprise search is changing thanks to generative AI as keyword-based and rigid approaches are being replaced with smarter and contextualized search experiences. Traditional search, which is commonly a "one-size-fits-all" process, often did not capture user intent, especially when using vague terms or faulty spelling in keyword searches.
Improved methods of natural language processing, machine learning applications like semantic search or Retrieval-Augmented Generation (RAG), give development teams the capability to enable search engines that acknowledge meaning instead of only word match searches.
By employing large language models along with access to proprietary data in real-time, enterprise search is more accurate...
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