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TrustGraph
TrustGraph Documentation
Overview
Introduction
Philosophy
Information retrieval
Architecture
Features
Use Cases
Maturity
Security
Deployment
Choosing a Deployment
Docker / Podman Compose
Minikube
Intel GPU
Scaleway
OVHcloud
Azure AKS
Google Cloud Platform
AWS EC2 Single Instance
Amazon Web Services (RKE)
Security Considerations
Production Considerations
Troubleshooting
Benchmarks
How-to Guides
Knowledge graph basics
Graph RAG
Ontology RAG
Document RAG
MCP Integration
Monitoring
Structured data processing
Schemas
Structured data load from a document
Structure data load from a data file
Querying structured data
Agent integration
Reference
APIs
About Pulsar
Agent API
Collection Management API
Config API
Core Import/Export API
Document Embeddings API
Document Load API
Document RAG API
Embeddings API
Entity Contexts API
Flow API
Graph Embeddings API
Graph RAG API
Knowledge API
Librarian API
Metrics API
NLP Query API
Object Storage API
Objects Query API
Prompt API
Structured Query API
Text Completion API
Text Load API
Triples Query API
websocket
CLI
tg-add-library-document
tg-delete-collection
tg-delete-flow-class
tg-delete-kg-core
tg-delete-mcp-tool
tg-delete-tool
tg-dump-msgpack
tg-get-config-item
tg-get-flow-class
tg-get-kg-core
tg-graph-to-turtle
tg-init-pulsar-manager
tg-init-trustgraph
tg-invoke-agent
tg-invoke-document-rag
tg-invoke-graph-rag
tg-invoke-llm
tg-invoke-mcp-tool
tg-invoke-nlp-query
tg-invoke-objects-query
tg-invoke-prompt
tg-invoke-structured-query
tg-list-collections
tg-list-config-items
tg-load-doc-embeds
tg-load-kg-core
tg-load-knowledge
tg-load-pdf
tg-load-sample-documents
tg-load-structured-data
tg-load-text
tg-put-config-item
tg-put-flow-class
tg-put-kg-core
tg-remove-library-document
tg-save-doc-embeds
tg-set-collection
tg-set-mcp-tool
tg-set-prompt
tg-set-token-costs
tg-set-tool
tg-show-config
tg-show-flow-classes
tg-show-flow-state
tg-show-flows
tg-show-graph
tg-show-kg-cores
tg-show-library-documents
tg-show-library-processing
tg-show-mcp-tools
tg-show-parameter-types
tg-show-processor-state
tg-show-prompts
tg-show-token-costs
tg-show-token-rate
tg-show-tools
tg-start-flow
tg-start-library-processing
tg-stop-flow
tg-stop-library-processing
tg-unload-kg-core
Changelog - TrustGraph
Changelog - Workbench
Containers
Python packages
Extending TrustGraph
AsyncProcessor
FlowProcessor
Service Base Classes
Flow Specifications
Structure Descriptor Language (SDL)
Configuration
Flow Classes
Schemas
Ontologies
Parameter Types
Contributing
Contributing Guidelines
Developer's Guide
Running TrustGraph as a developer
Code of Conduct
Support
Pages for Review
TrustGraph on GitHub
TrustGraph Documentation
Deployment
Deployment
Deployment decisions
π€
Choosing a Deployment
beginner β’ 10 min
Decision guide to help you select the right deployment method for your needs
Planning
Decision Guide
Getting Started
Standalone deployment
π³
Docker / Podman Compose
beginner β’ 30 - 60 min
Easiest way to get TrustGraph running locally with Docker or Podman for development and testing
Docker
Local
Quick Start
βΈοΈ
Minikube
intermediate β’ 2 - 3 hr
Run TrustGraph in a local Kubernetes cluster for production-like development and testing
Kubernetes
Local
Development
π₯οΈ
AWS EC2 Single Instance
advanced β’ 2 - 5 hr
Single AWS EC2 instance with Podman for development, testing, and small-scale deployments
AWS
Podman
Development
Global cloud
βοΈ
Amazon Web Services (RKE)
advanced β’ 2 - 5 hr
Production-ready RKE2 Kubernetes cluster on AWS with Bedrock AI integration
AWS
Kubernetes
Production
βοΈ
Azure AKS
advanced β’ 2 - 4 hr
Deploy on Azure Kubernetes Service with AI Foundry and dual AI model support
Azure
Kubernetes
Production
βοΈ
Google Cloud Platform
intermediate β’ 2 - 4 hr
Production GKE deployment with VertexAI Gemini integration and comprehensive GCP services
GCP
Kubernetes
Production
European Cloud Providers
πͺπΊ
OVHcloud
intermediate β’ 1 - 3 hr
Deploy on OVHcloud Managed Kubernetes with European data sovereignty and AI Endpoints
Kubernetes
Europe
Cloud
π«π·
Scaleway
intermediate β’ 1 - 2 hr
Cost-effective Kubernetes deployment with GDPR compliance and European data residency
Kubernetes
Europe
Budget-friendly
Data centre
π
Intel GPU
advanced β’ 5 - 10 hr
High-performance AI deployment with Intel Gaudi and GPU accelerators for large models
Intel
GPU
High-Performance
Table of contents
Choosing a Deployment
Docker / Podman Compose
Minikube
Intel GPU
Scaleway
OVHcloud
Azure AKS
Google Cloud Platform
AWS EC2 Single Instance
Amazon Web Services (RKE)
Security Considerations
Production Considerations
Troubleshooting