Zevi's Neural search is a search technology that uses artificial neural networks to improve the relevance and accuracy of search results. It achieves this without relying on synonym layers or additional language translations.

The technology trains on large language models, utilizing vast amounts of text data. It helps to interpret search queries and understand the implied meanings behind them, as intended by the users.