What is
Embedding?
A vector representation of text, image, or other data used for similarity search.
Definition
An embedding is a high-dimensional vector — typically 256 to 3072 dimensions — that represents the semantic meaning of a piece of content. Texts with similar meaning produce embeddings that are close in vector space. Embeddings power semantic search, recommendations, classification, and the retrieval step in RAG.
Example
Two product descriptions for "blue running shoes" and "azure athletic sneakers" would produce embeddings that are very close, even though the words barely overlap.
How Vedwix uses Embedding in client work
We benchmark several embedding models per project — text-embedding-3-large, voyage-3, gte — because the right model depends on the domain.
We ship this.
If you're building with Embedding in production, we can help — from architecture review to full implementation.
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