Dense vector
A compact representation in which most dimensions carry values learned by an embedding model.
What Dense vector means
It supports semantic matching but can blur rare names and exact identifiers.
Terms this definition uses
Definitions that name Dense vector
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 · Cosine similarity · Dot-product similarity · Approximate nearest neighbor · HNSW · Top-k · Retrieval recall · 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 Dense vector
What is Dense vector?
A compact representation in which most dimensions carry values learned by an embedding model.
Which area of the glossary does Dense vector belong to?
Retrieval engineering: How pages become chunks, vectors and candidates inside an answer engine, and why being retrieved is not being cited.
← Sparse vector · Cosine similarity →
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