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RAG for Customer Support

Designing a support assistant that answers from help content, knows when to hand off, and improves from real tickets.

Editorial team 1 min read

Customer support is one of the most common RAG applications: answering questions from help articles, policies and past resolutions.

Content Sources

  • Help centre articles and FAQs.
  • Product documentation and release notes.
  • Policies: refunds, shipping, warranties.
  • Resolved tickets, carefully filtered for quality and privacy.

Design Principles

  • Answer from approved content only, with links to the article used.
  • Know the limits: account-specific questions need authenticated tools or a person, not retrieval.
  • Hand off gracefully: detect frustration, sensitive topics and repeated failure, and route to a human with the conversation attached.
  • Match the brand's tone.

Measuring Success

  • Resolution rate without escalation (verified, not just "the chat ended").
  • Customer satisfaction after the conversation.
  • Accuracy on a test set of common questions.
  • Escalation quality: did humans receive useful context?

Learn From Failures

Review conversations where answers were wrong or customers escalated. Often the fix is a missing or unclear help article, which improves self-service for everyone.

Risks

Wrong answers about refunds or commitments can have legal and financial consequences. Keep policies current, avoid inventing commitments, and review high-risk topics carefully.

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