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Recall@K

A retrieval evaluation metric that measures the proportion of relevant documents successfully captured within the top K results returned by a vector database or search engine. In RAG pipelines, it serves as a benchmark for the retriever's ability to locate the necessary ground-truth context before the generation phase.

Definition

A retrieval evaluation metric that measures the proportion of relevant documents successfully captured within the top K results returned by a vector database or search engine. In RAG pipelines, it serves as a benchmark for the retriever's ability to locate the necessary ground-truth context before the generation phase.

Disambiguation

Focuses on 'finding all relevant items' rather than 'how many retrieved items are relevant'.

Visual Metaphor

"A fisherman's net: a wider net (higher K) is more likely to catch all the target fish (relevant data), but also gathers more unwanted seaweed (noise)."

Conceptual Overview

A retrieval evaluation metric that measures the proportion of relevant documents successfully captured within the top K results returned by a vector database or search engine. In RAG pipelines, it serves as a benchmark for the retriever's ability to locate the necessary ground-truth context before the generation phase.

Disambiguation

Focuses on 'finding all relevant items' rather than 'how many retrieved items are relevant'.

Visual Analog

A fisherman's net: a wider net (higher K) is more likely to catch all the target fish (relevant data), but also gathers more unwanted seaweed (noise).

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