Retrieval and search
An embedding is a numerical representation that lets systems compare meaning across texts, products, or queries.
Short definition
An embedding turns content into vectors so systems can measure semantic closeness between ideas, even when they do not use the same words.
It is a mathematical encoding of text, images, or other content that preserves meaningful relationships.
That makes conceptual similarity possible, such as relating an informal request to a well-tagged product even when the wording is different.
Dialo.ar uses embeddings to enrich retrieval, improve contextual search, and support experiences where customer phrasing is imperfect.
No. A keyword looks for literal matches; an embedding looks for similarity of meaning.
Because it helps find related products even when the customer describes the item differently.
Dialo.ar combines search, context, and concrete actions to resolve sales and support flows with AI.