Elastic Vector Search
Capabilities & Summary
Enterprise vector index built into Elasticsearch for hybrid retrieval.
Primary Use Cases
hybrid-enterprise-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
Elasticsearch →Search and analytics engine offering vector search, BM25, and hybrid search capabilities.