Factual package intelligence from PyPI

databricks-rag-studio 0.3.0 package intelligence

Databricks RAG Studio Library

pip install databricks-rag-studio

Current version
0.3.0
Python requirement
Not declared
License
Databricks Proprietary License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
100.6 KiB
Release history
4 releases with files
Median release cadence
18 days

databricks-rag-studio dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. databricks-sdk >=0.23.0
  2. mlflow-skinny
  3. mlflow >=2.13.1
  4. langchain-core >=0.1.33
  5. langchain-community >=0.0.28
  6. databricks-vectorsearch >=0.26
  7. tqdm
  8. typing-extensions >=4.5.0
  9. urllib3 >=2.0

Compatibility and release files

databricks-rag-studio publishes 1 wheel and 0 source archives for version 0.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

The project does not publish external project URLs in its PyPI metadata.