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Equation 14 · Part 1 · Naive, Graph, and Agentic: A Systems Comparison of RAG Architectures

Symbol d

RRF(d)=∑r∈R1k+r(d),\mathrm{RRF}(d) = \sum_{r \in R} \frac{1}{k + r(d)},
dd

What this part means

d occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

Its job in the formula

d occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

The passage around this formula

The two retrievers fail in different directions, which is the entire justification for running both. Lexical retrieval, the BM25 family, scores documents by term overlap and fails on vocabulary mismatch: a query about “cannot log in” scores nothing against a document that says “authentication failure”. Dense retrieval, the family Karpukhin and colleagues established with a dual-encoder trained on question-passage pairs, embeds query and passage into a shared vector space and fails on precision, losing rare identifiers — part numbers, version strings, error codes — that carry little weight in a learned embedding but enormous discriminative value lexically; their dense retriever nonetheless…

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Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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Sources cited in the surrounding passage

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