frmoretto/clarity-gate
🔧 Toolfrmoretto
A verification protocol that adds uncertainty markers to documents to prevent LLMs from hallucinating guesses as facts.
Clarity Gate addresses a critical vulnerability in RAG pipelines: the tendency for LLMs to treat ambiguous or speculative context as absolute truth. This Python-based tool implements a structured verification protocol that processes documents before they reach the model's context window. It functions by analyzing the epistemic quality of the input text, automatically injecting uncertainty markers where data is speculative, and flagging claims that require human verification. By enforcing this 'gate' before ingestion, developers can ensure that the model's reasoning is grounded in verified information rather than noise. This is particularly effective for enterprise applications where accuracy is paramount, such as legal, medical, or technical documentation analysis. The tool integrates seamlessly into existing data pipelines, providing a robust defense against the 'confident hallucination' phenomenon that plagues standard RAG architectures.
💡Highlights
- ├─Automated uncertainty marker injection
- ├─HITL workflow for unverified claims
- └─Reduces confident LLM hallucinations
🎯For
- ├─AI Engineers
- ├─RAG Developers
- └─AI Safety Researchers