Semantic search is a search technique that uses natural language processing (NLP) and machine learning (ML) to understand the context and meaning behind a user's search query. Here are some key terms related to semantic search:
Natural Language Processing (NLP)
A branch of artificial intelligence (AI) that focuses on enabling computers to understand and process human language. NLP is used in semantic search to help computers understand the meaning behind a user's search query.
Machine Learning (ML)
A type of AI that involves training computer algorithms to learn from data and improve their performance over time. ML is used in semantic search to help computers understand the context and intent of a user's search query.
Semantic understanding is the ability of a computer to understand the meaning and context behind a user's search query. Semantic understanding is a crucial component of semantic search.