What is sematic search?

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A semantic search is a type of search that attempts to understand the user's intent and the contextual meaning of their search query in order to provide more relevant results. 

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This type of search goes beyond simply matching the words in a query with documents that contain those same words; instead,

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It tries to determine the user's intent and the context of the search in order to provide results that are more relevant to what the user is actually looking for.

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There are a number of different techniques that can be used in order to perform a semantic searchs….

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Including natural language processing (NLP), ontology mapping, and latent semantic indexing (LSI). 

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Each of these techniques has its own strengths and weaknesses, and the choice of which technique to use will often depend on the specific application or domain.

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One of the main benefits of semantic search is that it can provide more relevant results than traditional keyword-based search. 

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This is because semantic search takes into account the user's intent and the context of the search, 

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Rather than just matching the keywords in the query with documents that contain those same keywords.

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