Superlinked Raises $9.5 Million Seed From Index Ventures and Theory Ventures to Fill the Gap Between Data and Vector Databases
Summary
The pair set out to build Superlinked to provide data scientists and software engineers with the ability to ship a product or feature with an ML-powered Search, a Recommender system, an Analytics pipeline or RAG interface that actually works in hours or days versus the typical months or quarters by connecting the companys data infrastructure to a vector database. "Vectors power most of what you already do online - hailing a cab, finding a funny video, getting a date, scrolling through a shopping feed or paying with a card. Superlinked aims to bridge both worlds on top of a solid data engineering foundation - to democratize the building of vector-powered systems.Superlinked has already partnered with several leading tech companies, including MongoDB, Redis, Dataiku, Starburst and others on integrations to expand its reach and capabilities. MongoDBs partnership with Superlinked makes it easier for customers to create and synchronize vector embeddings for complex data required for enterprise retrieval augmented generation and other use cases, including analytics or more standard semantic search and recommendation systems. To check out Superlinkeds platform, how it works, and what use cases it can unlock for enterprise clients, go to superlinked.com.Superlinked is a compute and data engineering framework for turning data into vector embeddings - the missing piece of the vector search puzzle, enabling companies to build Analytics, RAG, Search and Recommendation solutions.