Audience
Organizations wanting a data engineer solution to turn data into vector embeddings
About Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.
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Company Information
Superlinked
Founded: 2021
United States
superlinked.com
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online
Superlinked Frequently Asked Questions
Q: What kinds of users and organization types does Superlinked work with?
Superlinked works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Superlinked support in their product?
Superlinked supports these languages: English.
Q: What kind of support options does Superlinked offer?
Superlinked offers support via online.
Q: What other applications or services does Superlinked integrate with?
Superlinked integrates with: Python and Weaviate.
Q: What type of training does Superlinked provide?
Superlinked provides training in the form of documentation and live online.
