Data Sheet

RAG-Verification

Large language models (LLMs) often hallucinate—producing outputs that seem correct but are false. Even with retrieval-augmented generation (RAG), error rates remain as high as 5-10%, making them unreliable for mission-critical use.

Primer’s RAG-Verification (RAG-V) reduces errors by 100x.
Inspired by journalism fact-checking, RAG-V automatically detects and corrects errors in real time, ensuring accuracy for defense, intelligence, and other high-stakes decisions.