Search Personalization With Vectors: 5 Proven Wins for 2026
Two shoppers type the same query — “running shoes” — and the honest answer is that they don’t want the […]
Two shoppers type the same query — “running shoes” — and the honest answer is that they don’t want the […]
There’s a quiet collision happening between two of the biggest forces in ecommerce. On one side, retail media — the
You upgraded to AI-powered search. Shoppers type full sentences, the engine matches meaning instead of keywords, and the demo looked
Ask any search engineer what the biggest mistake in modern search is, and you’ll hear a version of the same
If you’ve ever wondered how a search box can return the right result when you didn’t use any of the
If you’ve ever typed a full sentence into a search box and gotten exactly what you wanted back, you’ve already
Query understanding is the part of search that decides what a shopper actually means — and it’s where most search
Search reranking is the difference between a search that’s technically relevant and one that actually sells. Retrieval gets you a
Embedding models are the quiet engine behind every modern product search experience — the technology that lets a shopper type
Choosing a vector database has become one of the most consequential — and confusing — decisions in any AI or