Factual package intelligence from PyPI

BCEmbedding 0.1.5 package intelligence

A text embedding model and reranking model produced by Netease Youdao Inc., which can be use for dense embedding retrieval and reranking in RAG workflow.

pip install bcembedding

Current version
0.1.5
Python requirement
Not declared
License
apache-2.0
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
29.4 KiB
Release history
10 releases with files
Median release cadence
2 days

BCEmbedding dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.6.0
  2. transformers <4.37.0,>=4.35.0
  3. datasets
  4. sentence-transformers

Compatibility and release files

BCEmbedding publishes 1 wheel and 0 source archives for version 0.1.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .