TrustScoreEval: Trust Scores for AI/LLM Responses — Detect hallucinations, flags misinformation & Validate outputs. Build trustworthy AI.

Framework structures causes for AI hallucinations and provides countermeasures

A robust RAG backend featuring semantic chunking, embedding caching, and a similarity-gated retrieval pipeline. Uses GPT-4 and FAISS to provide verifiable, source-backed answers from PDFs, DOCX, and Markdown.

Strict causal enforcement middleware for LLMs. Prevents hallucinations via Intensional Dynamics and Quantized Phase Logic. (Reference Implementation v1.0)

An epistemic firewall for intelligence analysis. Implements "Loop 1.5" of the Sledgehammer Protocol to mathematically weigh evidence tiers (T1 Peer Review vs. T4 Opinion) and annihilate weak claims via time-decay algorithms.

Democratic governance layer for LangGraph multi-agent systems. Adds voting, consensus, adaptive prompting & audit trails to prevent AI hallucinations through collaborative decision-making.

Legality-gated evaluation for LLMs, a structural fix for hallucinations that penalizes confident errors more than abstentions.