RAG Citation Checker

Verify that every claim in an AI-generated RAG response is faithfully supported by retrieved source documents. Detect hallucinated citations, unsupported claims, and context-response contradictions. Essential for compliance-critical RAG applications in finance, healthcare, and legal domains.

Run RAG Citation Checker Interactively 100% client-side execution in your browser. Zero data retention.

Open Interactive Tool

What Problem RAG Citation Checker Solves

Production AI deployments require predictable token economics, rigorous parameter verification, and deterministic schema handling. RAG Citation Checker isolates parameters client-side before payloads hit third-party foundation model APIs.

Primary Production Use Cases

Verify legal AI answer is grounded in documents
Detect hallucinations in medical QA system

Security & Data Privacy Considerations

All computations execute locally in browser memory. No prompt payloads, test inputs, or secret credentials are ever retained or stored on central servers.

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