What is Embeddinghub?
It is a database built for machine learning embeddings. It is built with four goals in mind. Store embeddings durably and with high availability, allow for approximate nearest neighbor operations, enable other operations like partitioning, sub-indices, and averaging, and Manage versioning, access control, and rollbacks painlessly.
Embeddinghub is a tool in the Databases category of a tech stack.
Embeddinghub is an open source tool with GitHub stars and GitHub forks. Here’s a link to Embeddinghub's open source repository on GitHub
- Run approximate nearest neighbor lookups, average multiple embeddings, partition tables (spaces), cache locally while training, and more
- Store and index billions vectors embeddings from our storage layer
- Create, manage, and rollback different versions of your embeddings
- Encode different business logic and user management directly into Embeddinghub
- Keep track of how embeddings are being used, latency, throughput, and feature drift over time
Embeddinghub Alternatives & Comparisons
What are some alternatives to Embeddinghub?
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Microsoft SQL Server
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