In traditional lexical search we often use text analysis to improve search results. OpenSearch uses analyzers to refine, tokenize, and convert text fields before storing them in an index. As an example,...| OpenSearch
Introduction Hybrid search combines lexical and neural search to improve search relevance; this combination shows promising results across industries and in benchmarks. In OpenSearch 2.18, hybrid search is an arithmetic combination of the...| OpenSearch
Normalization processor Introduced 2.10| OpenSearch Documentation
Explore how sorting works in hybrid queries, the query execution workflow, and ways to leverage these sorting capabilities within OpenSearch to improve search relevance and usability of results.| OpenSearch
Learn about rank normalization in hybrid search and how to OpenSearch can help you standardize scores from diverse algorithms to deliver more accurate and fair search results.| OpenSearch