DATE:
AUTHOR:
The LangChain Team
LangSmith SaaS

🔧 Off-the-shelf online evaluator prompts to catch bad retrieval and hallucinations for RAG

DATE:
AUTHOR: The LangChain Team

LangSmith’s online evaluator (LLM-as-judge) automatically runs on production traces with a customizable prompt and automation rules. Our new off-the-shelf evaluators give you a custom prompt that can:

  • Flag whether retrieved documents are relevant to the user input question (Document Relevance)

  • Check for hallucinations in the RAG response (Hallucination)

  • Check whether a RAG answer is helpful to address the question, with no ground truth answer required (Answer Helpfulness)

  • Flag upon specific criteria, such as for toxicity (Tagging)

Bonus: Watch this video or check out the docs to see how to establish guardrails using LangSmith to detect user inputs with PII or toxic queries.

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