Enforces epistemic quality in documentation to prevent LLM hallucinations in RAG systems.
Clarity Gate is a specialized verification protocol designed to ensure that documents provided to LLMs or RAG systems distinguish clearly between facts and hypotheses. Unlike standard detection tools, it proactively enforces the presence of uncertainty markers where epistemically required, producing Clarity-Gated Documents (CGD) that prevent AI models from mistaking assumptions for absolute truths. It features a robust 9-point verification framework and mandatory Human-In-The-Loop (HITL) workflows to maintain high-integrity knowledge bases and reliable AI retrieval.
Características Principales
01CGD Format Compliance (v2.0) with standardized YAML frontmatter
0212 GitHub stars
03Automated internal consistency and numerical data quality checks
