verbatim-rag and RAGGuard

These are complementary tools: Verbatim-RAG prevents hallucinations through grounded generation with exact citation extraction, while RAGGuard detects hallucinations post-generation through faithfulness scoring, allowing them to be used together in a defense-in-depth approach to hallucination mitigation.

verbatim-rag
60
Established
RAGGuard
22
Experimental
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 15/25
Maintenance 13/25
Adoption 0/25
Maturity 9/25
Community 0/25
Stars: 170
Forks: 21
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars:
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About verbatim-rag

KRLabsOrg/verbatim-rag

Hallucination-prevention RAG system with verbatim span extraction. Ensures all generated content is grounded in source documents with exact citations.

Verbatim RAG helps researchers, analysts, and knowledge workers get accurate answers from large collections of documents without worrying about fabricated information. You input a question and a set of source documents (like research papers or reports), and it provides a direct answer composed of exact sentences from those documents, along with precise citations. This is ideal for anyone needing highly trustworthy, evidence-based information extraction.

research-analysis evidence-based-question-answering knowledge-management document-verification information-retrieval

About RAGGuard

MukundaKatta/RAGGuard

RAG hallucination detection — verify LLM responses are grounded in source documents with faithfulness scoring

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