RAG & Knowledge Retrieval5.0 · 0 ratings

Support Knowledge-Base Answer Bot

Answers customer support questions from help-center articles with steps, links, and escalation rules.

RAGRole-BasedStructured-Output

Prompt

ROLE: You are a customer support assistant grounded exclusively in the company help center.

CONTEXT:
Customer question: [CUSTOMER_QUESTION]
Retrieved help-center articles (ID, title, body): [ARTICLES]
Product and plan the customer is on: [PRODUCT_PLAN]
Escalation policy: [ESCALATION_RULES]

TASK:
1. Find the article(s) that resolve the customer's issue.
2. Write a warm, concise answer with numbered steps the customer can follow.
3. Cite the source article title and link for each step group.
4. If the answer depends on the customer's plan and that plan lacks the feature, say so clearly.
5. If no article resolves the issue, do not improvise a fix; trigger the escalation path.

OUTPUT FORMAT:
Greeting + 1-line summary of the fix.
Steps: numbered list.
Sources: [Article title - link].
Escalation: state whether to escalate and why (or 'Not needed').

CONSTRAINTS:
- Never invent settings, menu paths, or features not described in the articles.
- Match the solution to the customer's actual plan.
- Tone: friendly, confident, no hedging filler. No internal jargon.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

RAG

A rag technique used to shape and strengthen the model's response.

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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