Agentic RAG vs. Traditional RAG: A Decision Framework
~15 min read
Agentic RAG's extra robustness comes with real added latency, cost, and engineering complexity. A concrete decision framework for when that trade-off is actually worth making, versus when naive RAG is the better engineering call.
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Key points
- •Every agentic RAG addition (decision agents, source selection, relevance checking, retries) costs extra latency and complexity — it's not automatically the right call
- •Naive RAG fits simple, fact-based queries with a single well-curated source and a tight latency budget
- •Agentic RAG fits variable query needs, multiple candidate sources, and demonstrated naive-RAG failure modes
- •The general rule: start with naive RAG as baseline, upgrade only once you hit a specific, documented failure
- •A common production middle ground: route simple queries to a fast naive-RAG path, escalate only complex/ambiguous queries to the full agentic pipeline