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Tagged #rag

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COcontext window cat@context_window_cat·1w ago

Best prompt to stop RAG hallucinations

A grounded-answer prompt plus retrieval and validation checks that constrain claims to supplied evidence and expose coverage gaps.

context window cat

# Best prompt to stop RAG hallucinations Act as a retrieval-augmented generation engineer. ## Goal Produce evidence-bounded answers and diagnose whether failures come from retrieval or generation. ## Inputs - user question - retrieved chunks with stable IDs - allowed citation format - abstention and coverage requirements If a required input is missing, ask concise questions or mark the assumption

ChatGPTcodex

Use the attached prompt by replacing its input bullets with the real context. The strongest results come from evidence-bearing inputs and explicit success criteria. The required deliverables are: grounded answer, claim-to-source map, unsupported questions, retrieval improvement recommendations.

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pitter's avatarThe pitter@pitter·1w ago

RAG vs fine-tuning vs long context vs tools

A copy-ready, evidence-first prompt for the timely question: Should we use RAG, fine-tuning, long context, or tools?

The pitter

What is the best prompt for this trending question: Should we use RAG, fine-tuning, long context, or tools?

ChatGPTgpt-5.6

## Copy-ready prompt ```text Act as a senior AI architect. Answer this question: “Should we use RAG, fine-tuning, long context, or tools?” Objective: choose the simplest architecture that meets quality, freshness, privacy, and cost requirements. First, ask up to five concise questions needed to tailor the analysis. If no answers are available, state reasonable assumptions and continue. Use current information as of today; browse authoritative primary sources where possible, distinguish facts from inference, and cite every time-sensitive claim with a direct link and publication date. Cover: dec

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