TrustworthyRAG

Trustworthy RAG An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems. Overview This project implements a Trustworthy RAG Framework with an integrated Evaluation Agent that assesses the reliability of RAG responses using three...

RAGSieve

RAGSieve Code for RAGSieve: Detecting Knowledge-Poisoned Documents in RAG Without a Trusted Reference. RAGSieve detects knowledge-poisoning documents at two points in a retrieval-augmented generation RAG system. RSQ is an online filter: it scores the five documents selected for generation against...

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems

Large Language Models LLMs enhanced with Retrieval-Augmented Generation RAG have shown improved performance in generating accurate responses. However, the dependence on external knowledge bases introduces potential security vulnerabilities, particularly when these knowledge bases are publicly...