Embeddings
Numerical representations of text (or images) that capture semantic meaning, the underlying data format that makes vector search and semantic matching possible.
What it means
An embedding converts a piece of content, a product description, a query, into a vector of numbers positioned in a high-dimensional space such that similar meanings end up near each other, regardless of exact wording. This is what allows an AI system to recognize that "budget-friendly" and "affordable" refer to the same concept. Product content that's clear, specific, and well-structured tends to produce more accurate embeddings than vague marketing copy, which improves how reliably it gets matched to relevant buyer queries.
Why it matters for Shopify
Shopify merchants writing specific, concrete product descriptions rather than vague marketing language give AI systems cleaner embeddings to match against real buyer queries.