CrawlCheck
Glossary · Retrieval engineering

Retrieval recall

The share of relevant items that a retriever returns within a defined cutoff.

What Retrieval recall does not show

It requires a judged relevant set; without one, recall cannot be measured.

Related terms in Retrieval engineering

How pages become chunks, vectors and candidates inside an answer engine, and why being retrieved is not being cited.

Corpus · Document ingestion · Data connector · Parsing · OCR · Layout-aware parsing · Semantic chunking · Fixed-size chunking · Chunk overlap · Parent-child retrieval · Metadata filtering · Vector database · Vector index · Sparse vector · Dense vector · Cosine similarity · Dot-product similarity · Approximate nearest neighbor · HNSW · Top-k · Retrieval precision · Mean reciprocal rank · Normalized discounted cumulative gain · Relevance score · Candidate generation · Query rewriting · Query expansion · HyDE · Multi-query retrieval · Reciprocal rank fusion · Late interaction · Lexical retrieval · Semantic search · Exact-match retrieval · Freshness boosting · Authority weighting · Source diversity · Deduplication · Near-duplicate detection · Semantic cache · Retrieval latency · Retrieval cutoff · Citation mapping · Answer synthesis

Questions about Retrieval recall

What is Retrieval recall?

The share of relevant items that a retriever returns within a defined cutoff.

What does Retrieval recall not show or guarantee?

It requires a judged relevant set; without one, recall cannot be measured.

Which area of the glossary does Retrieval recall belong to?

Retrieval engineering: How pages become chunks, vectors and candidates inside an answer engine, and why being retrieved is not being cited.

← Top-k  ·  Retrieval precision →

See it in the full glossary · 772 terms across 19 areas.

Free browser extension

See this on any site you visit, in one click.

CrawlCheck for Chrome grades every site you visit A–F and shows, from your own browser, what search engines and AI assistants are actually served. Free, no account.