RAG Prompting — retrieval-augmented generation for grounded answers
Combine retrieved context with targeted prompts so the AI answers from your documents instead of hallucinating.
Prompting4.5
Prompt template
Answer the question using ONLY the context provided below. If the answer is not in the context, say 'I don't have enough information to answer this.' Cite the source section for each claim.
Context: {retrieved_documents}
Question: {user_question}How to use
- 1Chunk your knowledge base into 500-1000 token segments with metadata
- 2Embed queries and retrieve top 3-5 most relevant chunks
- 3Pass retrieved context with explicit grounding instructions
- 4Require citations to source sections in the output
- 5Add a fallback for when context is insufficient
Pro tips
- Keep retrieved chunks under 40% of context window
- Use metadata (date, source, author) to improve relevance
- Hybrid search (keyword + semantic) improves recall by 20-30%
- Always include a 'not found' fallback to prevent hallucination
Works best with
RAGRetrievalGroundingchatgptclaude
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