Equation 31 · Naive, Graph, and Agentic: A Systems Comparison of RAG Architectures
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Collect the five families’ engineering shape in one place, on the axes that generalise across them rather than the accuracy numbers that do not. A single latency model makes the difference between the first three rows and the last two concrete. Writing for query encoding, and and for the retrieval and generation cost of round i ,
Sources cited in the article section
- [7] Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions ↗
- [4] From Local to Global: A Graph RAG Approach to Query-Focused Summarization ↗
- [9] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ↗
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