What is Semantic Search?

Semantic Search - a type of search query that aims to understand the intent and context behind a user's search terms, rather than just matching keywords. It uses natural language processing (NLP) and machine learning algorithms to provide more relevant results.

In today's digital age, people are no longer satisfied with simple keyword searches. They want answers to their questions and solutions to their problems. That's where semantic search comes in - it helps users find what they're looking for by understanding the meaning behind their queries.

Unlike traditional keyword-based searches, which rely on exact matches between search terms and web content, semantic search takes into account related concepts, synonyms, and even context clues like location or time of day. This allows for more accurate results that better meet the user's needs.