Improve the accuracy and control in your information retrieval stack with Superlinked's mixture-of-encoders data embedding infrastructure, which combines meta and behavioural data directly into your embeddings, rather than relying on filtering, re-ranking, and ad-hoc "boosting".
Superlinked's cloud infrastructure helps teams build and launch enterprise-grade solutions for multiple use-cases, such as: Natural language search (e.g. "senior go to market roles in climate tech near Sacramento"); Behavioural Recommendations (e.g. content discovery feeds, email personalisation); Entity matching (e.g. catalog deduplication, user lookalikes,..) and more, on top of a mix of structured and unstructured data. Think e-commerce products, job listings or Jira tickets - with metadata like popularity, availability, location, numeric & categorical fields, timestamps & behavioural events.
Start with our open source product for POCs & evals and scale to billions of behavioural events, queries and objects with our cloud product. Check superlinked.com for code tutorials and customer case studies - and build vector-powered software with ease!
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