aiqbench analysis

Agentic RAG adds a decision layer to standard retrieval-augmented generation, letting the system decide whether to retrieve, what to query, and whether results are sufficient before answering. Naive RAG is simpler and cheaper, but it can struggle with multi-step or ambiguous questions. The core tradeoff is added latency, cost, and complexity in exchange for more reliable answers on harder queries.