Individual skill

rag-vs-context-engineering

Decide between RAG, long-context, structured tool retrieval, and prompt-only approaches for grounding an LLM in private or fresh data. Use when the user is designing a knowledge-grounded agent or chatbot and mentions RAG, vector search, embeddings, retrieval, chunking, long context, context window, tool retrieval, hybrid search, rerank, or asks "do I need RAG?" / "should I just use a big context window?".

skills/rag-vs-context-engineering/SKILL.md

Source commit 54c1d0090c766b131dd87b4442ee415c5c9c0c80

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Last checked

Nov 6, 2026

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