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Search has come a long way black and white vans with the advancements in technology, and users can now expect far better accuracy and relevancy with the results. Today, while traditional keyword based search is still relevant, there is technology based on artificial intelligence (AI) that is redefining our imagination. The biggest challenge while working with keyword based approach is that it is not always accurate when working with unstructured data.

Today, data is growing exponentially and a major share of organizational data is unstructured. This black nike trainers calls for a more efficient approach and semantic search is the solution enterprises need today.The Challenges of Keyword Based SearchAccording to a study conducted by IBM, Stanford and MIT, search can be classified into 2 types navigational search and research search. The former involves looking for a specific document or page and this is where the traditional keyword based approach works wonders.

In order to understand how it s different from the traditional approach. The word semantic means meaning and semantic search engines use AI-based algorithms to understand the concept of the query for each term in order to showcase the most relevant results. In other words, it is all about results that are in context with the query.The semantic search engines use advanced cognitive features black nike trainers womens to understand the meaning of the query, and this opens new possibilities in relevancy and accuracy of results.

And a semantic search engine can help in the following ways.1] Enhanced Quality of ResultsThe context-based approach of semantics fetches highly precise and relevant results faster and with high recall (the ability to fetch all the relevant results for a query). 3RDi Search is an enterprise search platform that is powered by Retina API, its own NLP, text mining, and text analysis engine.2] Improved User ExperienceThe ability to comprehend natural language powered by AI leads to an enhanced user experience like never.