What is SPARQUE.AI?

SPARQUE.AI is a composable search and recommendation engine that separates data retrieval, ranking logic, and business rules into independently configurable layers. This architecture lets teams modify ranking algorithms or add new data signals without redeploying the full search stack. The platform supports product discovery use cases including semantic search, intent-based ranking, and context-aware recommendations for e-commerce and content-heavy digital properties.

How it works

SPARQUE.AI ingests product data, content objects, and behavioural event streams and stores them in a queryable graph structure. Ranking pipelines are defined as configurable workflows that call retrieval, scoring, and filtering steps in sequence. Teams can extend the default pipelines by inserting custom scoring functions or external model outputs without modifying the core retrieval layer. Results are delivered via a GraphQL or REST API.

SPARQUE.AI with Laioutr

SPARQUE.AI is planned for the Laioutr App Store. Once available, its composable ranking layer will integrate with the Personalization capabilities of the Agentic Frontend Management Platform to deliver context-adjusted search and recommendation outputs per visitor segment. Teams deploying the B2C Growth Kit can configure discovery logic per campaign or market without coupling ranking decisions to a single algorithmic model.

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