Do AI agents pick Elasticsearch?
How often agents choose Elasticsearch when a developer needs search — measured across Claude, GPT, Gemini.
95% CI 5%–14%
When developers ask an AI agent for search, Elasticsearch is picked 8% of the time — ranking #3 of 5 measured across Claude, GPT, Gemini.
2.2M package downloads / week
25 docs in FineWeb · 2.0K URLs in Common Crawl
8.0M installs / month ▼ 10% MoM
Get the full report
The per-model and per-surface breakdown for Elasticsearch — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.
About Elasticsearch
A distributed search and analytics engine built on Apache Lucene.
Elasticsearch stores, searches, and analyzes large volumes of data in near real time. It supports full-text search, structured queries, vector search, and aggregations, making it used by developers building search features, log analysis pipelines, and observability platforms. It is the core engine behind the Elastic Stack, often paired with Kibana for visualization and Logstash or Beats for data ingestion.
Where to start
Set up an Elasticsearch cluster (locally via Docker or through Elastic Cloud), then use the official Node.js client to index documents and run queries against your data.
The rest of the Search ranking
| 1 | Meilisearch | 17% |
| 2 | Algolia | 14% |
| 4 | Typesense | 4% |
| 5 | Orama | 0% |