What is Embeddinghub?
Embeddinghub is an open-source vector database designed to streamline the deployment of machine learning models in production environments. Built with four key objectives in mind, this database offers a robust solution for storing, managing, and leveraging machine learning embeddings
Highlights
- Durable and highly available storage for machine learning embeddings
- Efficient approximate nearest neighbor operations for rapid data retrieval
- Advanced functionality, including partitioning, sub-indices, and averaging
- Seamless management of versioning, access control, and rollbacks
Platforms
- Web
Social
Features
Encode different business logic and user
Keep track of how embeddings are being used,
Run approximate nearest neighbor lookups, average
Store and index billions vectors embeddings from
Create, manage, and rollback different versions