NLP, Artificial Intelligence, Data Science, Machine Learning, Embeddings.
understanding the content of the search query instead of relying on lexical matching only. This is done leveraging similarities between embeddings. The idea behind semantic search is to embed all entries in your corpus into a vector space. At search time, the query is embedded into the same vector