Data infrastructure for machine learning embeddings.
Project description
Website | Docs | API Docs | Community forum
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.
Try it out
Contributing
- To contribute to Embedding Hub, please check out Contribution docs.
- Welcome to our awesome community, please join our Slack community.
Report Issues
Please help us by reporting any issues you may have while using Embedding Hub.
License
Release history Release notifications | RSS feed
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.post11.tar.gz
(14.8 kB
view details)
File details
Details for the file embeddinghub-0.0.1.post11.tar.gz.
File metadata
- Download URL: embeddinghub-0.0.1.post11.tar.gz
- Upload date:
- Size: 14.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5b58190e2a97010da3d0e4ef48876706d0019408ff404b52fce970009ec442f9
|
|
| MD5 |
d16159131ac316885c1a24ce9a5849eb
|
|
| BLAKE2b-256 |
965d5b176d295bb1b38171aafd072c1e8c196c71f0e705183b38561f585ced9c
|
