ground-truth v0.1.0 — Genesis Release
Hallucination detection for RAG pipelines. Verify that LLM outputs are grounded in source documents.
What's Included
- Claim extraction from LLM outputs
- Source document matching and verification
- Confidence scoring per claim
- Support for multiple evidence sources
- Integration with popular RAG frameworks
- Batch processing for pipeline use
- 18 commits, comprehensive test coverage
Install
pip install ground-truthQuick Start
from ground_truth import Verifier
verifier = Verifier()
result = verifier.check(
claim="The company was founded in 2025",
sources=["company_docs.pdf", "filing.txt"]
)
print(f"Grounded: {result.is_grounded} ({result.confidence:.2f})")Built with the Edgecraft Protocol. TechKnowMad Labs — Autonomous Intelligence.