Elasticsearch for enterprise search
Elasticsearch is the second of three picks for enterprise search, and it is the pick when the corpus is your own data. Elastic's official server lets an agent list indices, read mappings, and run full-text and ES|QL queries against an Elasticsearch cluster, so retrieval happens directly over the content your organization already indexes.
The rank reflects the corpus split. Exa leads for external knowledge through neural web search, while Elasticsearch owns the private side. When the documents and records you need to search live in your own cluster, this server queries them where they are.
How Elasticsearch fits
The tools mirror how you query Elasticsearch by hand. list_indices shows what the connection can reach, get_mappings returns a field's structure so the agent builds a query that matches the schema, and search runs the Query DSL with highlighting, profiling, and explain for tuning relevance. esql runs an ES|QL query for piped aggregations and analytics when the question is more analytical than lookup, and get_shards reports shard distribution for diagnosing performance.
The honest comparison: Exa is the pick when you want to search the open web with neural relevance, and Jina AI provides embeddings and reranking for building your own search over private content from scratch. Elasticsearch assumes you already run a cluster with your data indexed in it. It is the strongest of the three when that is true; if you are building retrieval over private content without an existing index, Jina AI's embedding and reranking approach may suit better. Reach for Elasticsearch to query data you already hold.
Tools you would use
| Tool | What it does |
|---|---|
| list_indices | List all available Elasticsearch indices the connection can access. |
| get_mappings | Get the field mappings for a specific Elasticsearch index. |
| search | Perform a search with the Elasticsearch Query DSL, supporting highlighting, query profiling, and explain. |
| esql | Run an ES|QL query against the cluster for piped aggregations and analytics. |
| get_shards | Get shard distribution information for all indices or a specific index. |
FAQ
- What can an agent do against Elasticsearch through this server?
- List indices with list_indices, inspect field mappings with get_mappings, run full-text Query DSL searches with search, and run analytical ES|QL queries with esql, all against your existing cluster.
- Elasticsearch or Exa for enterprise search?
- Elasticsearch when the corpus is your own indexed data in a cluster. Exa when you need neural search over the open web. They cover different corpora rather than competing for the same one.