Searching by semantic meaning using embeddings: numerical representations of text that capture meaning.
Products, questions, and policies are converted to high-dimensional vectors by an embedding model. A query is converted the same way. The search finds the closest vectors in space. This is how 'gift for dad' can return tools, grilling gear, or headphones without any keyword overlap.
14-day free trial on paid plans. Or start with a free sandbox store, connect your products, and see how the salesperson handles real customer questions.
Free sandbox (no credit card) · 14-day trial on paid plans · Cancel anytime