Case Study: Superlinked achieves real-time personalized experiences with Redis Enterprise

With Redis Enterprise’s Vector Database, Superlinked is Revolutionizing Personalization

Superlinked helps developers build personalized applications that understand user behavior and deliver relevant content, recommendations, and matches. Its challenge was finding a vector database that could handle real-time user and content embeddings at scale for AI and MLOps use cases, without requiring advanced machine learning expertise.

Using Redis Enterprise’s Vector Database and Redis Cloud, Superlinked built a “Vector Ops” platform to ingest content, users, and events and power real-time recommendations and search. With Redis, Superlinked achieved sustained heavy usage of 100+ vector search queries per second with 95th percentile latency of just 30 ms, helping developers launch personalized experiences in hours.

Superlinked

Daniel Svonava

Co-Founder