Elasticsearch
by Elastic N.V.
Connect agents to Elasticsearch for full-text search, log analytics, and vector/semantic search.
How agents use Elasticsearch
- ✓Semantic and full-text search over large document collections
- ✓Log analysis and anomaly detection in application telemetry
- ✓Real-time indexing of agent-generated content for later retrieval
- ✓Aggregation and analytics over structured event data
- ✓Vector search for RAG (retrieval-augmented generation) workflows
Agent actions
Inputs: index, query, size, from, sort, source
Returns: hits, total, maxScore, took
Inputs: index, document, id, refresh
Returns: id, index, result, version
Inputs: index, id
Returns: document, found, version
Inputs: index, id, doc, upsert
Returns: result, version
Inputs: index, id
Returns: result
Inputs: operations, refresh
Returns: succeeded, failed, errors, took
Inputs: index, query
Returns: deleted, failures
Inputs: index, query
Returns: count
Example workflows
Product search
Full-text search across product catalog with filters and ranking
Log analysis
Query application logs to surface errors and anomalies
About Elasticsearch
- Vendor
- Elastic N.V.
- Pricing Always review details with the vendor
- Free / Paid — Elastic Cloud offers a 14-day free trial. Self-hosted is open-source (free). Cloud plans start at ~$95/month.
- Authentication
- API key
- Rate limit Always review details with the vendor
- 1000 requests / minute
- Compatible nodes
- AgentResourceInputOutput
- Website
- https://www.elastic.co
Put Elasticsearch behind your AI agent
Set up Elasticsearch alongside your other tools in the planner — no code — so AI can act on it for your customers.
Open the planner