WaveSearch Labs Control Panel

Search ops, ingestion, merchandising rules, analytics, and simulation.

Open platform guide
wavesearch-api
wavestore-erp-api
wave-sts
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Query and recommendations

Results

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IdTitleScoreActions
No results yet.

Merchandising rules

Boost, bury, and pin controls (paged)
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Rule IdBoostBuryActions
No rules loaded.

Ranking and browse levers

Technical details
LeverPrimary controlQuick action
Boost/Bury/Pin merchandising Rule editor modal
Catalog content and ingest freshness Ingest from ERP
Behavior signals (search/view/click) Behavior simulation + events
Ranking depth and candidate window Query text + page size + recommend seed
Tuning feedback loop Analytics and config review
Explainability / pre-post AI comparison Search Explorer diagnostics table

Behavior simulation

AI harness (Azure Foundry)

Foundry endpoint is not configured on this deployment.
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Query redirects

QueryTarget URLLabelActions
No redirects loaded.

Ranking objective

What should ranking optimize for, tenant-wide, on top of relevance? Built from real logged view/click/purchase events (Reciprocal Rank Fusion against the relevance order -- nudges, doesn't fully override).

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ML model status will appear here after refresh.
ProductViewsClicksPurchasesCTRConv.Revenue
No performance data loaded.

Analytics

No analytics loaded.

Search Explorer — pre/post AI diagnostics

Every /search/query call is recorded with its lexical (pre-AI) order and final (post-AI) order so you can inspect exactly what the reranker and intent classifier changed.
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TimeQueryResultsRerankIntentOrder changedActions
No searches recorded yet. Run a query to populate this list.

API output / console