- Kibana Guide: other versions:
- What is Kibana?
- What’s new in 8.16
- Kibana concepts
- Quick start
- Set up
- Install Kibana
- Configure Kibana
- Alerting and action settings
- APM settings
- Banners settings
- Cases settings
- Enterprise Search settings
- Fleet settings
- i18n settings
- Logging settings
- Logs settings
- Metrics settings
- Monitoring settings
- Reporting settings
- Search sessions settings
- Secure settings
- Security settings
- Spaces settings
- Task Manager settings
- Telemetry settings
- URL drilldown settings
- Start and stop Kibana
- Access Kibana
- Securing access to Kibana
- Add data
- Upgrade Kibana
- Configure security
- Configure reporting
- Configure logging
- Configure monitoring
- Command line tools
- Production considerations
- Discover
- Dashboards
- Canvas
- Maps
- Build a map to compare metrics by country or region
- Track, visualize, and alert on assets in real time
- Map custom regions with reverse geocoding
- Heat map layer
- Tile layer
- Vector layer
- Plot big data
- Search geographic data
- Configure map settings
- Connect to Elastic Maps Service
- Import geospatial data
- Troubleshoot
- Reporting and sharing
- Machine learning
- Graph
- Alerting
- Observability
- Search
- Security
- Dev Tools
- Fleet
- Osquery
- Stack Monitoring
- Stack Management
- Cases
- Connectors
- Amazon Bedrock
- Cases
- CrowdStrike
- D3 Security
- Google Gemini
- IBM Resilient
- Index
- Jira
- Microsoft Teams
- Observability AI Assistant
- OpenAI
- Opsgenie
- PagerDuty
- SentinelOne
- Server log
- ServiceNow ITSM
- ServiceNow SecOps
- ServiceNow ITOM
- Swimlane
- Slack
- TheHive
- Tines
- Torq
- Webhook
- Webhook - Case Management
- xMatters
- Preconfigured connectors
- License Management
- Maintenance windows
- Manage data views
- Numeral Formatting
- Rollup Jobs
- Manage saved objects
- Security
- Spaces
- Advanced Settings
- Tags
- Upgrade Assistant
- Watcher
- REST API
- Get features API
- Kibana spaces APIs
- Kibana role management APIs
- User session management APIs
- Saved objects APIs
- Data views API
- Index patterns APIs
- Alerting APIs
- Action and connector APIs
- Cases APIs
- Import and export dashboard APIs
- Logstash configuration management APIs
- Machine learning APIs
- Osquery manager API
- Short URLs APIs
- Get Task Manager health
- Upgrade assistant APIs
- Synthetics APIs
- Uptime APIs
- Kibana plugins
- Troubleshooting
- Accessibility
- Release notes
- Upgrade notes
- Kibana 8.16.4
- Kibana 8.16.3
- Kibana 8.16.2
- Kibana 8.16.1
- Kibana 8.16.0
- Kibana 8.15.5
- Kibana 8.15.4
- Kibana 8.15.3
- Kibana 8.15.2
- Kibana 8.15.1
- Kibana 8.15.0
- Kibana 8.14.3
- Kibana 8.14.2
- Kibana 8.14.1
- Kibana 8.14.0
- Kibana 8.13.4
- Kibana 8.13.3
- Kibana 8.13.2
- Kibana 8.13.1
- Kibana 8.13.0
- Kibana 8.12.2
- Kibana 8.12.1
- Kibana 8.12.0
- Kibana 8.11.4
- Kibana 8.11.3
- Kibana 8.11.2
- Kibana 8.11.1
- Kibana 8.11.0
- Kibana 8.10.4
- Kibana 8.10.3
- Kibana 8.10.2
- Kibana 8.10.1
- Kibana 8.10.0
- Kibana 8.9.2
- Kibana 8.9.1
- Kibana 8.9.0
- Kibana 8.8.2
- Kibana 8.8.1
- Kibana 8.8.0
- Kibana 8.7.1
- Kibana 8.7.0
- Kibana 8.6.1
- Kibana 8.6.0
- Kibana 8.5.2
- Kibana 8.5.1
- Kibana 8.5.0
- Kibana 8.4.3
- Kibana 8.4.2
- Kibana 8.4.1
- Kibana 8.4.0
- Kibana 8.3.3
- Kibana 8.3.2
- Kibana 8.3.1
- Kibana 8.3.0
- Kibana 8.2.3
- Kibana 8.2.2
- Kibana 8.2.1
- Kibana 8.2.0
- Kibana 8.1.3
- Kibana 8.1.2
- Kibana 8.1.1
- Kibana 8.1.0
- Kibana 8.0.0
- Kibana 8.0.0-rc2
- Kibana 8.0.0-rc1
- Kibana 8.0.0-beta1
- Kibana 8.0.0-alpha2
- Kibana 8.0.0-alpha1
- Developer guide
Troubleshooting
editTroubleshooting
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
- Dense vectors are not searchable
- Embeddings must be generated using the inference processor with an ML node.
- Context length error
- You’ll need to adjust the size of the context you’re sending to the model. Refer to Optimize model context.
- LLM credentials not working
- Under Model settings, use the wrench button (🔧) to edit your GenAI connector settings.
- Poor answer quality
-
Check the retrieved documents to see if they are valid. Adjust your Elasticsearch queries to improve the relevance of the documents retrieved. Refer to View and modify queries.
You can update the initial instructions to be more detailed. This is called prompt engineering. Refer to this OpenAI guide for more information.
You might need to click ⟳ Clear chat to clear chat history and start a new conversation. If you mix topics, the model will find it harder to generate relevant responses.