RAG Prompt Cheatsheet - Context-grounded Answers & Hallucination Control

RAG prompt templates organized by pattern — answer-from-context, citations, abstain, conflict flags. Copy a template, fill the variables, and ship.

AI Prompts·25 commands·Last updated 2026-08-23

Answer From Context 5

Use only the <context> below; no outside knowledge. Q: {q}
<context>{c}</context>

Strongest anti-hallucination boundary

Support each claim with <context> verbatim and cite passage numbers

Traceable claims

If <context> is insufficient, say "not enough info" — do not guess

Honest abstention

One-sentence conclusion first, then evidence with sources

Conclusion+evidence skeleton

Turn <context> into a FAQ, each with a source passage

Sourced knowledge capture

Citations & Fusion 5

Append [1][2] to each claim pointing at context blocks

Inline block citations

Synthesize passages A and B; note agreement and divergence

Multi-source fusion

Build a timeline from <context> (cite sources)

Temporal extraction

Extract an actionable checklist, source each item

Sourced action items

Generate a glossary; each term cites its context

Verifiable terms

Conflict & Uncertainty 5

If passages conflict, list both and say it cannot be adjudicated

Explicit conflict flag

Flag aspects <context> does not cover (coverage gap)

Gap prompt

Label confidence per claim: high/med/low with reason

Confidence tiers

Separate "context states" from "reasonable inference"

Fact vs inference split

Cross-check sensitive facts across passages

Lower risk

Pairing With Retrieval 5

Instruct the model to ignore irrelevant context blocks

Noise reduction vs recall junk

Ask it to rerank by relevance before answering

Pair with reranker

Chunk long docs, then ask per chunk

Avoid truncation

Have it name the most relevant blocks

Explainable recall

Abstain on low relevance rather than fabricate

Hold the line

Pitfalls 5

Write the context boundary rigidly

Else it leaks training memory

Verify citations manually

AI citations can mis-attach

Prompt + reranker for recall noise

Prompt alone is not enough

Abstain beats guessing

Honesty first

Don't force-unify conflicts

Flagging is more professional

Tips

The soul of RAG prompts is locking the model inside retrieved context — an explicit "answer only from <context>, no outside knowledge" boundary is the first line against hallucination.
Citing sources (block/passage numbers) makes claims traceable, but AI citations can mis-attach — verify key facts manually.
Flagging conflicts and confidence tiers beats forced unification; fight recall noise with "ignore irrelevant blocks" prompt + reranker.
Abstain on low relevance rather than fabricate — holding the line beats completeness.

Official References

Commands are compiled from the official docs below. Click to verify the latest usage.

Maintained by LaoHand

Publicly updated on Aug 23, 2026, continuously proofread against official docs.

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