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Towards Data Science
Towards Data Science
7/6/2026
The original title is about validating RAG answers before users see them, using spans, quotes, and feedback loops.

The original title is about validating RAG answers before users see them, using spans, quotes, and feedback loops.

Original: Validating the RAG Answer Before the User Sees It: Spans, Quotes, and the Feedback Loop

Short summary

This article explores validating RAG system outputs before user exposure by leveraging spans and quotes to verify evidence. Structured output alone is insufficient—validation requires checking against source materials and handling not-found cases. A feedback loop helps iteratively improve answer quality and system reliability.

  • •RAG validation goes beyond structured output to check evidence quality
  • •Spans and quotes connect answers to source materials for traceability
  • •Feedback loops enable continuous improvement of answer accuracy

Generated with AI, which can make mistakes.

#ai-tools#research-breakthrough#ai-agents
Read full article at Towards Data Science

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