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Retrieval and search

What is an embedding

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.

What it means

It is a mathematical encoding of text, images, or other content that preserves meaningful relationships.

How to understand it better

That makes conceptual similarity possible, such as relating an informal request to a well-tagged product even when the wording is different.

How Dialo.ar uses it

Dialo.ar uses embeddings to enrich retrieval, improve contextual search, and support experiences where customer phrasing is imperfect.

Frequently asked questions

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.

Related terms

What is RAG

What is semantic search

What is reranking

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