LettuceDetect: A Hallucination Detection Framework for RAG Applications

Originally published on HuggingFace

TL;DR

We present LettuceDetect, a lightweight hallucination detector for Retrieval-Augmented Generation (RAG) pipelines. It is an encoder-based model built on ModernBERT, released under the MIT license with ready-to-use Python packages and pretrained models.

• What: LettuceDetect is a token-level detector that flags unsupported segments in LLM answers.

  Tags: Hallucinations Large Language Models Rag Architecture Retrieval Augmented Tokenization

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