RAGAS
AssessTools
An evaluation framework for assessing faithfulness and other RAG answer quality metrics.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6Hugging Face Blog·9/29/2026researchProvenanceGuard adds source-aware verification for MCP agents
Hugging Face describes ProvenanceGuard, a verification layer for MCP-based LLM agents that checks not only whether an answer is factually supported, but whether it is supported by the specific source the answer cites or implies. The system aims to catch cross-source conflation, where a true statement is attributed to the wrong tool output or document.