Integration approach

Start with the stack you already have.

Plan a recommendation workflow around your catalog, events, backend, and product experience. Define the connection before the implementation.

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RN / RELEVANCE INFRASTRUCTURE
Connection, before complexity

A recommendation workflow has clear inputs.

01

Your item catalog

Item identifiers, categories, attributes, availability, and content that help describe what can be recommended.

02

Your interaction events

Views, clicks, saves, carts, purchases, or content consumption events appropriate to your experience.

03

Your application

A backend and product placement where a recommendation request and response can fit naturally.

Technology patterns

Designed around familiar building blocks.

Explore React and Next.js product experiences, Python services, and structured data workflows. Technology marks are illustrative; compatibility and implementation are reviewed together.

React
Next.js
Python
TypeScript
PostgreSQL
What to bring

A useful first integration conversation.

  • The placement you want to improve
  • A description of your catalog and attributes
  • The events you already collect
  • Your backend and current retrieval approach
  • A relevance objective and baseline
  • Data access, retention, and security requirements

No credentials or production datasets are needed to discuss your requirements.

Read the developer guide
Let’s find your starting point

Great catalogs.
Even better discovery.

Bring your product, your catalog, and your biggest relevance question. Let’s talk about what a better experience could look like.

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