Factual package intelligence from PyPI

meddiscover 0.1.6 package intelligence

MedDiscover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical resear

pip install meddiscover

Current version
0.1.6
Python requirement
>=3.11
License
CC BY-NC-ND 4.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
16.9 KiB
Release history
7 releases with files
Median release cadence
0 days

meddiscover dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0.0
  2. torchvision <0.20.0,>=0.15.0
  3. faiss-cpu >=1.7.0
  4. pypdf2 >=3.0.0
  5. transformers <4.50.0,>=4.30.0
  6. numpy >=1.23.0
  7. openai >=1.0.0
  8. python-dotenv >=1.0.0
  9. gradio >=4.0.0
  10. nltk >=3.8.0
  11. rouge-score >=0.1.0
  12. pandas >=2.0.0
  13. scipy >=1.10.0
  14. statsmodels >=0.14.0

Compatibility and release files

meddiscover publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Metadata completeness

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

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

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