Skip to main content

Custom embeddings implementations for Donkit RagOps

Project description

The author of this package has not provided a project description

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

donkit_embeddings-0.1.10.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

donkit_embeddings-0.1.10-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file donkit_embeddings-0.1.10.tar.gz.

File metadata

  • Download URL: donkit_embeddings-0.1.10.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.0 Linux/6.8.0-1041-azure

File hashes

Hashes for donkit_embeddings-0.1.10.tar.gz
Algorithm Hash digest
SHA256 398b6baa1072ca732be43522af57786cb473918bf05ab7b601171d1d189bdb43
MD5 441b6c73d7e1fb3b6fb30e0abf84c37e
BLAKE2b-256 4e3bf02c02420e0fee7c8491297a8b6c6f34cd0530fc912ba9950c7d4b7245f1

See more details on using hashes here.

File details

Details for the file donkit_embeddings-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: donkit_embeddings-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 15.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.0 Linux/6.8.0-1041-azure

File hashes

Hashes for donkit_embeddings-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 aada9578c2ba8d9b56e70fe3508e0e48d2b656c61d80761f83f001de33dee89d
MD5 5d0b25be2bc5708d686669b9752ad482
BLAKE2b-256 9c1f0201b87e3ec1a6db15a728f27437584552d0f805d99117d27b4ed83805e2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page