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Welcome

NextWhy Superlinked?

Last updated 3 months ago

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Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

  • WHY: Improve your vector search relevance by encoding metadata together with your unstructured data into vectors. Read more at

  • WHAT: A framework and a self-hostable REST API server that connects your data, vector database and backend services.

  • HOW: Construct custom data & query embedding models from pre-trained encoders from sentence-transformers, open-clip and custom encoders for numbers, timestamps and categorical data. See and for examples.

If you like what we do, give us a ! ⭐

Discover Superlinked

Resources

Why Superlinked
concepts
use cases
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Superlinked framework diagram
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Getting Started

Begin your journey with Superlinked by setting up and understanding the basics.

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Concepts

Explore the core ideas and principles behind Superlinked's functionality.

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Use Cases

Learn how Superlinked can be applied to solve real-world problems.

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Reference

Access detailed documentation for Superlinked's components.

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Changelog

View the changelog for Superlinked.

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VectorHub

free and open-sourced learning hub for people interested in adding vector retrieval to their ML stack.

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Vector DB Comparison

Open-source collaborative comparison of vector databases by Superlinked