This site allows the use of our own and third-party cookies in order to ensure the user has a better experience on our website. By clicking on the "Accept" button, the user consents to the use of cookies. To find out more or to manage your cookie preferences, you can consult our Cookie Policy.
Embeddings transform text into meaning-space, revealing relationships that go beyond keywords. Understanding how meaning is encoded allows AI systems to interpret intent, context, sentiment, structure, and conceptual hierarchy — exactly what drives modern LLM-based visibility.
