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Data infrastructure for machine learning embeddings.

Project description

featureform

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.

Features

  • 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.

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Source Distribution

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

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