Superlinked

Superlinked is an AI-powered search and matching engine designed for semi-structured data. It addresses the core pain point of traditional keyword search, which struggles to handle complex, multi-dimensional user requirements that combine semantic understanding with structured filtering.

Primarily for enterprises, AI engineers, and data scientists who need to build complex information retrieval systems, suitable for developing semantic search, intelligent recommendations, RAG applications, or performing advanced feature engineering.

By encoding metadata (e.g., timeliness and credibility) into unified vector representations, ensuring the LLM retrieves the most relevant and up-to-date contexts, and accurately understanding complex queries with mixed conditions, thereby improving answer accuracy and relevance.

Users should have Python development skills. Superlinked provides a Python SDK that lets developers define data schemas and query logic in code, and integrate with mainstream vector databases and embedding models.

Yes. Superlinked has an open-source implementation on GitHub. For commercial cloud service pricing, please contact the official team.

There are public case studies validating its effectiveness, such as helping BrandAlley achieve a 77% uplift in recommendation conversion rates and helping Climatebase increase job applications by 50%.