Skip to main contentConnect your Elasticsearch cluster to Ledgerbeam to query your search and analytics data using natural language. Elasticsearch is a distributed search and analytics engine.
Features
- Full Elasticsearch integration
- Support for indices and documents
- Query DSL understanding
- Automatic index analysis
Connection Requirements
- An Elasticsearch cluster (version 7.0 or higher)
- Network access to your Elasticsearch cluster
- Authentication credentials (if required)
Setup Instructions
- Navigate to Resources in your Ledgerbeam dashboard
- Click “Add Resource” and select “Elasticsearch”
- Enter your Elasticsearch configuration:
- Host: Your Elasticsearch host (e.g.,
https://elasticsearch.example.com)
- Port: Elasticsearch port (default: 9200)
- Authentication: If required, provide credentials
- Click “Test Connection” to verify
- Click “Create Resource” to complete setup
Schema Analysis
After connecting, Ledgerbeam automatically:
- Analyzes your Elasticsearch indices
- Understands document mappings
- Identifies field types and structures
- Makes your Elasticsearch data queryable
Querying Elasticsearch
You can query your Elasticsearch data using natural language:
- “What are the most recent documents in the logs index?”
- “Show me documents matching a specific pattern”
- “What’s the total count of documents?”
Troubleshooting
Connection Issues
- Verify your Elasticsearch cluster is accessible
- Check firewall rules allow connections
- Ensure authentication credentials are correct
- Verify cluster health
Index Issues
- Check that indices exist and are accessible
- Verify index mappings are correct
- Ensure you have read permissions
Best Practices
- Use read-only users for production
- Enable SSL/TLS for secure connections
- Regularly resync your resource to pick up changes
- Monitor cluster health
Need Help?
For additional support, contact us at [email protected]. 
