Make your Solr work harder. No rip-and-replace.
Solr still powers a huge share of European commerce — often embedded in SAP Commerce. searchHub adds the intent layer in front of it: every spelling and variant clustered into one proven query, with zero changes to your schema or platform.
Proven retrieval, aging relevance tooling.
Solr retrieves reliably at scale, but relevance lives in schema files, synonym lists and handler configs your team maintains by hand — and in SAP Commerce setups, every change rides a release train.
searchHub rewrites user queries before they reach Solr, so relevance improves at the query layer — no schema change, no reindex, no platform customization project.
Three capabilities added in front of Solr, not instead of it.
Suggest orders autocomplete by what converts, typo-free and duplicate-free.
Every spelling and typo is rewritten to one proven query, so Solr retrieves on clean input.
Insights ranked by conversion potential tell you which journeys to fix first, so you act on evidence, not vanity charts.
What Solr teams are asking right now
Drawn from the current Solr news cycle — and what each topic means for your search KPIs.
Embedded Solr is hard to tune and expensive to customize. Optimizing the query in front of it skips the release train entirely.
A replatform answers the wrong question first. Prove how much relevance the query layer recovers before you price a migration.
Decompounding and typo patterns break keyword retrieval. Intent clusters absorb them before Solr ever sees the query.