Choose a query or seed product
Workspace users start with text, an existing asset, or a selected product.
Digital merchandising
Visual discovery
Tessaire provides governed visual and similar-product workbenches inside the authenticated local product.
- Audience
- Ecommerce discovery and merchandising teams
- Problem
- Similarity can become an opaque promise unless retrieval stays tenant-scoped, explainable, readiness-aware, and separated from public storefront delivery.
Workflow
How Tessaire addresses the work.
Retrieve within tenant boundaries
pgvector ranking stays inside tenant and brand scope and records query evidence.
Apply merchandising filters
Shop Similar can apply readiness, category, source-availability, and fallback rules.
Outputs
What the workflow prepares.
Ranked product summaries
Results use client-safe product data with score and stale or missing embedding state.
Preview configuration
Teams can inspect similar-product settings before any public widget exists.
Review and control
What keeps the outcome honest.
Isolation before ranking
RLS, entitlement, permission, rate-limit, and tenant predicates guard retrieval.
No anonymous storefront API
Signed tokens, origin allowlists, and public delivery require a later architecture decision.
Availability
The remaining boundary stays visible.
Production embedding provider
Current retrieval evidence is deterministic and local; production provider selection and implementation remain future work.
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