Skip to main content

Data infrastructure for machine learning embeddings.

Project description


Embedding Store workflow PyPi Downloads Featureform Slack
Python supported PyPi Version featureform Website Twitter

Embedding Hub is an open-source embedding management and storage solution.


  • Supported Operations: Run approximate nearest neighbor lookups, average multiple embeddings, partition tables (spaces), cache locally while training, and more.
  • Storage: Store and index billions vectors embeddings from our storage layer.
  • Versioning: Create, manage, and rollback different versions of your embeddings.
  • Access Control: Encode different business logic and user management directly into the embedding hub.
  • Monitoring: Keep track of how embeddings are being used, latency, throughput, and feature drift over time.

Try it out


Report Issues

Please help us by reporting any issues you may have while using Embedding Hub.


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

embeddinghub-0.0.1.post12.tar.gz (14.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page