Nearest Neighbor Search: 5 Powerful Facts for 2026
Every vector search system in production has a dirty secret: it doesn’t actually find the closest matches. It finds almost […]
AI Search
Real-Time Indexing: 6 Costly Mistakes to Avoid in 2026
There’s a category of search failure that no relevance model can fix. Your ranking is perfect, your embeddings are excellent,
AI Search for Large Catalogs: 6 Costly Mistakes to Avoid in 2026
Search that works beautifully at fifty thousand SKUs can fall apart at five million. Not gradually — structurally. Memory bills
Retail Media Meets Semantic Search: 5 Smart Wins for 2026
There’s a quiet collision happening between two of the biggest forces in ecommerce. On one side, retail media — the
What is Hybrid Search? The Best 2026 Guide
Ask any search engineer what the biggest mistake in modern search is, and you’ll hear a version of the same
Query Understanding: 7 Powerful Ways to Win Ecommerce Search
Query understanding is the part of search that decides what a shopper actually means — and it’s where most search
Search Reranking: 6 Proven Ways to Lift Sales in 2026
Search reranking is the difference between a search that’s technically relevant and one that actually sells. Retrieval gets you a
Embedding Models for Ecommerce: The 7 Best Picks for 2026
Embedding models are the quiet engine behind every modern product search experience — the technology that lets a shopper type
Vector Database Comparison: 6 Best Picks for 2026
Choosing a vector database has become one of the most consequential — and confusing — decisions in any AI or
A/B Testing Ecommerce Search: 7 Proven Wins for 2026
Changing your site search on a hunch is how good intentions quietly cost revenue. A/B testing ecommerce search replaces opinion