Data Search Engine

Purpose

Design and configure search engine clusters for full-text search, log analytics, and real-time data exploration with proper indexing, query design, and cluster management.

Agent Protocol

Trigger

Exact user phrases: "Elasticsearch", "OpenSearch", "Solr", "search engine", "full-text search", "inverted index", "indexing", "search analytics", "aggregation", "cluster management", "shard routing", "mapping", "analysis", "tokenization", "ILM", "index lifecycle".

Input Context

Before activating, verify:

• Search platform (Elasticsearch, OpenSearch, Solr)
• Data types (text, structured, geo, time-series)
• Query patterns (full-text search, faceted navigation, aggregations, autocomplete)
• Indexing volume (docs/sec, total doc count, index size)
• Cluster topology (node count, hardware, cloud/on-prem)
• Replication and HA requirements
• Retention and lifecycle policies