Factual package intelligence from PyPI

bestrag 0.3.3 package intelligence

bestrag: Library for storing and searching document embeddings in a Qdrant vector database using hybrid embedding techniques.

pip install bestrag

Current version
0.3.3
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.6 KiB
Release history
9 releases with files
Median release cadence
2 days

bestrag dependencies

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

  1. fastembed ==0.4.1
  2. PyPDF2 ==3.0.1
  3. qdrant-client
  4. onnxruntime ==1.19.2

Compatibility and release files

bestrag publishes 1 wheel and 1 source archive for version 0.3.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .