PRODUCTParent Company: Vespa.ai
Vespa Engine
Capabilities & Summary
High-performance computation and retrieval platform for massive vector and text queries.
Primary Use Cases
large-scale-search
Implemented Concepts & Architecture
Hybrid Search
A unified retrieval approach that combines sparse lexical matching and dense vector search, typically merged via scoring algorithms like Reciprocal Rank Fusion (RRF).
BM25
Okapi BM25 is a classic, probabilistic ranking function used in information retrieval to score document relevance based on exact keyword matching, term frequency, and inverse document frequency.
Product Category
Parent Entity
Vespa.ai →Big data serving engine for vector search, lexical search, and structured queries at scale.