TrustGraph Documentation

Build intelligent AI agents with knowledge graphs and GraphRAG

TrustGraph is an open-source Agent Intelligence Platform that transforms AI agents from simple task executors into contextually-aware systems. By combining knowledge graphs with vector embeddings, TrustGraph enables AI agents to understand relationships, reduce hallucinations, and provide more accurate responses.

⚡ TrustGraph 2.4 is here

The TrustGraph Workbench has been completely replaced by a new UX which properly integrates AI Explainability, a new Context Graph visuals, ontology traversal, and authentication. This release also introduces Workspace-Based Multi-Tenancy and an IAM Service with Gateway Authentication. A major update to the documentation has been needed to bring everything up-to-date — a few pages still have updates remaining, and these are flagged with a header on affected pages.

Choose Your Path

📚 Learn about TrustGraph

Understand what TrustGraph is and how it works

Introduction What is TrustGraph and how it transforms AI agents into contextually-aware systems Philosophy Design principles and philosophy behind TrustGraph's approach Information Retrieval Understanding Graph RAG, Document RAG, and other retrieval strategies Features Complete overview of TrustGraph features and platform capabilities Explainability How TrustGraph traces answers back to their sources Use Cases Real-world applications from enterprise search to intelligent agents Get Help Support resources, community channels, and how to get assistance

🚀 Try it out (Quickstart)

Get hands-on experience quickly by running it on a local device

Docker/Podman Compose Easiest way to get TrustGraph running locally for development and testing Graph RAG Query documents using automatically extracted entities and relationships Document RAG Query documents using vector embeddings and semantic similarity search Information Retrieval Understand the retrieval strategies you just used Get Help Support resources, community channels, and how to get assistance

🏢 Plan a production deployment

Evaluate and plan enterprise deployment

Introduction What is TrustGraph and how it transforms AI agents into contextually-aware systems Use Cases Real-world applications from enterprise search to intelligent agents Maturity Production readiness, feature stability, and deployment status for enterprise use Security Cybersecurity foundations, privacy protections, and enterprise security roadmap Choose Deployment Select from Docker, Podman, Kubernetes, AWS, Azure, GCP, and other deployment options Get Help Support resources, community channels, and how to get assistance

👨‍💻 Developer integration

Build applications with TrustGraph

Docker/Podman Compose Easiest way to get TrustGraph running locally for development and testing Knowledge Graphs Learn the fundamentals of knowledge graphs, triples, and RDF concepts Graph RAG Query documents using automatically extracted entities and relationships API Reference Complete API documentation for integrating TrustGraph into your applications MCP Integration Integrate Model Context Protocol servers to extend agent workflows with custom tools Get Help Support resources, community channels, and how to get assistance

🔧 Extend TrustGraph

Contribute and customize TrustGraph

Architecture System design, component relationships, data flow, and integration points Developer Guide Set up your development environment and understand the codebase Contributing How to contribute code, documentation, and improvements to TrustGraph Get Help Support resources, community channels, and how to get assistance

Documentation Sections

Overview

Understanding TrustGraph - Architecture, features, philosophy, and use cases.

Deployment

Running TrustGraph - Docker/Podman Compose, Kubernetes, cloud platforms, and production setup.

How-to Guides

Task-oriented instructions - Step-by-step guides for specific tasks and workflows.

Reference

Technical specifications - API docs, CLI commands, configuration, and technical details.

Contributing

Technical specifications - API docs, CLI commands, configuration, and technical details.

Table of contents