Synergy of cosine similarity and generative artificial intelligence

Abstract

First and foremost, the synergy between cosine similarity and generative artificial intelligence in the context of developing a contextual search application is a promising direction, especially given that most search systems rely on keyword-based search. The new approach proposed by artificial intelligence is based on neural and semantic search, focusing not on individual keywords but on their context and relationships, which opens up broad possibilities for improving the accuracy and relevance of search results.

To meet users' needs, chatbots are being developed. Chatbots are utilized in various fields, including customer service, consultation, user support, and other tasks that require interaction with people through text or voice interfaces. Their popularity is constantly increasing in response to demand from users, the majority of whom regularly use chatbots in their everyday lives. The article covers concepts of artificial intelligence, AI-based chatbots, contextual search, and cosine similarity. The focus is on the application of contextual search based on artificial intelligence. An explanation of the approach and specific details of the implementation of its development is provided.