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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 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.

Unifying this data to draw off white shoes insights for use in strategic business decision making is one of the priorities of enterprises today, 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 before.