Metadata-Version: 2.4
Name: rtfact
Version: 0.0.2
Summary: Retromorphic Testing Framework (RTF) for detecting hallucinations in Large Language Models (LLMs)
Project-URL: Homepage, https://github.com/BoxiYu/RTFactCheck/
Author-email: Yuzhong Zhang <better@github-user.com>, Boxi Yu <boxi@github-user.com>
License: MIT
Requires-Python: >=3.13
Requires-Dist: asyncpg>=0.30.0
Requires-Dist: beautifulsoup4>=4.13.5
Requires-Dist: datasets>=4.1.1
Requires-Dist: dotenv>=0.9.9
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Requires-Dist: llama-index-core>=0.14.2
Requires-Dist: llama-index-embeddings-openai>=0.5.1
Requires-Dist: llama-index-llms-openai>=0.5.6
Requires-Dist: llama-index-vector-stores-postgres>=0.6.8
Requires-Dist: llama-index>=0.14.2
Requires-Dist: logfire>=4.8.0
Requires-Dist: matplotlib>=3.10.6
Requires-Dist: numpy>=2.3.3
Requires-Dist: openai>=1.108.1
Requires-Dist: pandas>=2.2.3
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Requires-Dist: psycopg2-binary>=2.9.10
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Requires-Dist: tqdm>=4.67.1
Description-Content-Type: text/markdown

# RTFactCheck / RT4Hallucination

Using RT (retrieval trajectories) for detecting hallucination.

Project links:

- GitHub: https://github.com/BoxiYu/RTFactCheck/
- PyPI: https://pypi.org/project/rtfact/

For detailed usage and architecture, see:

- `docs/index.md` – library usage guide and Quick Start;
- `docs/architecture.md` – package structure and core modules.
