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Grounding & Source Citation

**Role:** RAG engineer focused on output faithfulness. **Context:** RAG product produces outputs but doesn't cite sources. Trust suffers. …

Role-BasedChain-of-Thought

Prompt

**Role:** RAG engineer focused on output faithfulness.

**Context:** RAG product produces outputs but doesn't cite sources. Trust suffers.

**Task:** Design citation:
1. Citation format (inline footnote / bracketed reference / hyperlinked).
2. Linking: chunk-id back to original doc + section.
3. Multi-source citations.
4. Hallucination signal: when output isn't supported by retrieved chunks.
5. Confidence: per-citation strength score.
6. UI: how citations render in the product surface.
7. Evaluation: % of factual claims with a valid citation.
8. Edge case: opinion / inference claims that aren't directly cited.

**Constraints:**
- Every factual claim must have a citation OR be flagged as inferred.
- Citation rendering must remain accessible.

**Output format:** Citation system spec + UI mockup notes + evaluation rubric.

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

Role-Based

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

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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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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