Relevance score

A system-specific number estimating how well a candidate matches a query. It is usually meaningful only within the same model, index, query, and scoring configuration.

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

← Normalized discounted cumulative gain · Candidate generation →

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