Data Science & Analytics
Elasticsearch Search Relevance
Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with query rules (correct rule type, criteria, and rule-query wiring) and tune organic ranking with multi_match, field boosts, and analysis grounded in the index mapping. Use when search results rank poorly, a specific document must appear first for a query, or the user asks to tune full-text matching — not for ES|QL analytics, index ingest, or cluster health.
- Publisher / source
- elastic/agent-skills (found on skills.sh)
- Upstream record
- elastic/agent-skills
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
13d4ab2e15e06a5aefd03174c14cecb46eb4e10b6c40808b51a672f84f1f7060