What is an embedding?
Embeddings are numbers that capture what a text means, so a computer can find similar content even when the words differ. The technology behind good search.
An embedding is a list of numbers that captures what a piece of text means, not just the words it contains. Two texts about the same thing, like "holiday pay" and "paid leave", end up close together in those numbers even if they don’t share a single word.
It’s the technology that turns search into understanding instead of just word matching. When you ask, "what applies when I’m on leave?" the system can find the policy section about holidays, even though your question didn’t include the word.
In practice, embeddings work like an index: your documents are split into chunks, each chunk gets its numbers, and when a question comes in, the question’s numbers are compared to the chunks’. The closest matches are sent to the language model as context. That’s how EuroWork’s knowledge library and document search find the right paragraph in a hundred-page manual, and the cost of indexing shows up in the cost log like everything else.
Your employees are already using AI, often in private accounts where no one sees what gets pasted in. EuroWork gives the same AI help in one place where you are in control: sensitive data is caught before it is sent, processing stays in the EU, every answer shows its price and management sets the rules.
See how EuroWork works →