displayName
Search Index
category
data-store
description
Inverted-index search engine providing full-text search, faceted
filtering, relevance ranking, and aggregations over large document
collections. Distinct from relational databases (which use sequential
scans or B-tree indexes for exact lookups) and vector databases
(which use ANN for semantic similarity).
Elasticsearch and OpenSearch are the dominant enterprise choices, offering
powerful query DSLs, shard-based horizontal scaling, and rich aggregation
pipelines. Meilisearch and Typesense target developer-friendly, low-
latency search for application search bars. Key concerns include index
mapping design, analyzer configuration (language tokenization, stemming,
synonyms), relevance tuning, and shard sizing.