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AI · 2025

A support copilot that answers from your real docs, not vibes

RAG-powered support copilot grounded in a SaaS company's actual documentation and ticket history.

61%
tickets auto-resolved
<2s
median answer time
0
made-up answers in eval set

The problem

A growing SaaS team was buried in repetitive support tickets. They'd tried a generic chatbot — it hallucinated, made things up, and customers stopped trusting it. They needed answers grounded in their real, ever-changing docs.

What we built

We built a retrieval pipeline over their docs and resolved tickets, with an evaluation harness so we could measure accuracy before shipping — not guess. The copilot cites its sources, hands off to a human when unsure, and re-indexes automatically when docs change.

LLM agentsRAGVector DBEvalsNext.js

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