COMPANY
Vespa.ai
About Vespa.ai
Big data serving engine for vector search, lexical search, and structured queries at scale.
Editorial Notes
Authoritative entry for Vespa.ai in the context infrastructure ecosystem.
Products & Open-Source Projects
Core Focus Concepts
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).
Vector Search
Retrieval mechanism based on calculating mathematical distances between high-dimensional vector embeddings of queries and documents.
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.
Market Classification
Details
Websitevespa.ai