Relevance score
A system-specific number estimating how well a candidate matches a query.
What Relevance score does not show
It is usually meaningful only within the same model, index, query, and scoring configuration.
Definitions that name Relevance score
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 recall · Retrieval precision · Mean reciprocal rank · Normalized discounted cumulative gain · 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 Relevance score
What is Relevance score?
A system-specific number estimating how well a candidate matches a query.
What does Relevance score not show or guarantee?
It is usually meaningful only within the same model, index, query, and scoring configuration.
Which area of the glossary does Relevance score belong to?
Retrieval engineering: How pages become chunks, vectors and candidates inside an answer engine, and why being retrieved is not being cited.
← Normalized discounted cumulative gain · Candidate generation →
See it in the full glossary · 772 terms across 19 areas.
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