Quick Start
Graph Statistics
Get Overall Statistics
Nodes
List Nodes
Get Node Details
Get Node Relationships
Search Nodes
Integrations
List all integrated data sources that contribute to the knowledge graph:Custom Queries
Run custom Cypher queries to analyze your organizational knowledge graph:Schema Discovery
List Labels
List Relationship Types
Subgraph Exploration
Extract a subgraph around a specific node:Intelligent Search
AI-powered natural language search for the context graph using Claude:- AI-powered: Claude-based agent with specialized graph tools
- Flexible: Configurable model, temperature, and search parameters
- Smart tools: 10 graph operations (property search, relationships, subgraphs, etc.)
- Streaming: Real-time progress updates (default: enabled)
- Session continuity: Continue conversations with
--sessionflag
--stream- Enable real-time streaming (default: true)--model- LiteLLM model name (default: kubiya/claude-sonnet-4)--temperature- Model temperature 0.0-2.0 (default: 0.7)--max-turns- Maximum conversation turns 1-20 (default: 5)--integration- Filter by integration (AWS, Azure, Slack, etc.)--label- Filter by node label--semantic- Enable semantic search--cypher- Enable custom Cypher queries--output- Output format (text, json)
Best Practices
- Use graph queries for resource discovery and pattern analysis
- Monitor agent activity and execution success rates
- Optimize graph queries with indexes and limits
- Archive old execution data periodically
- Implement regular Neo4j backups
- Use intelligent search for exploration, structured queries for automation
- Filter queries by integration or label for performance
- Set appropriate depth limits for subgraph queries
Command Reference
Next Steps
Cognitive Memory
Store and recall contextual knowledge using semantic search
Core Resources
Create and manage agents, teams, and projects
On-Demand Execution
Execute tasks with intelligent planning
Capabilities
Configure skills, models, and policies