Metadata-Version: 2.4
Name: cgs-rag
Version: 0.2.0
Summary: Composite Grounding Score: multi-signal hallucination detection for production RAG systems. v0.2.0 adds atomic claim-level faithfulness scoring.
Author-email: Nishant Kumar <nishant.k@marmeto.com>
License: MIT
Project-URL: Homepage, https://github.com/nishant-k-marmeto/cgs-rag
Project-URL: Repository, https://github.com/nishant-k-marmeto/cgs-rag
Keywords: rag,retrieval-augmented-generation,hallucination,detection,nlp,llm,grounding,faithfulness
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: torch>=2.0.0
Requires-Dist: transformers>=4.36.0
Requires-Dist: sentence-transformers>=2.2.0
Requires-Dist: scikit-learn>=1.3.0
Requires-Dist: numpy>=1.24.0
Requires-Dist: pandas>=2.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: matplotlib; extra == "dev"
Requires-Dist: seaborn; extra == "dev"
