Stop paying to evaluate your LLM outputs. Stop tolerating non-deterministic quality gates. LongTracer is the MIT-licensed Python library that catches RAG hallucinations at inference time — no API calls, no cloud dependency, no per-verification cost.
The Hallucination Problem Is Now a Production Engineering Problem
Retrieval-Augmented Generation (RAG) has become the dominant architecture for enterprise AI in 2025–2026. Legal research tools, medical Q&A systems, financial advisory bots, and customer-support agents all run the same core loop: retrieve context from a knowledge base, pass it to an LLM, return the response.
The failure mode is well-documented: hallucination — the LLM generating confident, plausible-sounding output that directly contradicts the very source documents it was given.
A legal assistant that cites a case that doesn’t exist.
