E-commerce product search
Shoppers describe what they want; search finds it, ranked for them.
vecsai Search turns your catalogue into a search experience that understands intent, tolerates typos and ranks results for the person searching. It runs on vecsai DB, so the same catalogue, filters and user signals serve search and recommendations alike.
Showing results for wireless headphones
Matches “something warm for winter hikes” to the right products even when no title contains those words.
Instant suggestions as users type, and correct results for misspelled queries.
Results are re-ranked for each user from what they have viewed, bought or watched.
Boost new arrivals, bury out-of-stock items, pin campaigns to the top of a query, all without a deploy.
Category, brand, price and any custom attribute, with counts that stay in sync with the results.
See the top queries, queries with no results and which results people click.
Shoppers describe what they want; search finds it, ranked for them.
Find titles, episodes and articles by topic, mood or description, not only by name.
Answer the question the user asked, even when it is worded differently from the article.
Send your catalogue, call the search endpoint from your front end. Most teams have a working prototype within days.
Yes. Boosting, burying, pinning and filtering rules can be set per query or globally, and take effect immediately.
Yes. Text analysis and semantic matching work across languages, including Turkish.
Text, vector and hybrid search in one fast engine.
Learn morePersonal recommendations for every user, in real time.
Learn moreSee the effect of a change before your users do.
Learn moreTell us about your platform and we will show you search, recommendations and simulation running on your data.