TrustGraph Overview
Understanding TrustGraph: concepts, architecture, and capabilities
What’s in This Section?
This section explains what TrustGraph is, how it works, and why you might use it. Read this to understand the platform’s conceptual foundation before diving into implementation.
This Section is For:
- Architects evaluating TrustGraph for their organization
- Decision-makers understanding capabilities and use cases
- Developers wanting conceptual grounding before coding
- Anyone curious about GraphRAG and knowledge graphs
Not What You Need?
- Want to get started? → Getting Started
- Need step-by-step instructions? → How-to Guides
- Looking for API docs? → Reference
Recommended Reading Path
New to TrustGraph?
- Start with Introduction - Core concepts and technology
- Read Philosophy - Design principles and approach
- Review Use Cases - Real-world applications
- Explore Architecture - System design details
Evaluating TrustGraph?
- Introduction - What TrustGraph does
- Use Cases - Is this right for my needs?
- Features - What capabilities exist?
- Maturity - What’s production-ready?
- Roadmap - Where is the project going?
Understanding the Technology?
- Introduction - GraphRAG and knowledge graphs
- Architecture - How components fit together
- Philosophy - Design decisions
- Then try: Getting Started to see it in action
Section Contents
Introduction
Start here - Comprehensive introduction to TrustGraph, GraphRAG, knowledge graphs, and AI agent intelligence. Explains core technologies and how they work together.
Read this if: You’re new to TrustGraph or want to understand what makes it different.
Philosophy
Design principles - Why TrustGraph was built this way, the problems it solves, and the philosophy behind its approach.
Read this if: You want to understand the “why” behind TrustGraph’s design.
Architecture
System design - Technical architecture, component relationships, data flow, and integration points.
Read this if: You need to understand how TrustGraph components work together.
Features
Capability catalog - Complete overview of TrustGraph features and what you can do with the platform.
Read this if: You want to know what TrustGraph can do.
Use Cases
Real-world applications - Common scenarios where TrustGraph adds value, from enterprise search to intelligent agents.
Read this if: You’re evaluating whether TrustGraph fits your needs.
Maturity
Feature stability - Which features are production-ready, beta, or experimental. Includes test coverage and deployment status.
Read this if: You need to assess production readiness.
Roadmap
Future direction - Planned features and development priorities.
Read this if: You want to know what’s coming next.
Quick Answers
What is TrustGraph?
TrustGraph is an Open Source Agent Intelligence Platform that transforms AI agents from simple task executors into contextually-aware systems. It combines:
- Knowledge Graphs: Interconnected entity-relationship structures
- Vector Embeddings: Semantic similarity search
- GraphRAG: Relationship-aware retrieval for AI responses
- Agent Runtime: Execution environment with contextual understanding
Why Use TrustGraph?
For AI Developers: Build agents that understand context and relationships, not just isolated facts.
For Data Scientists: Query knowledge using both structured relationships and semantic similarity.
For Enterprises: Unify fragmented organizational knowledge into coherent, queryable systems.
For Everyone: Reduce AI hallucinations by grounding responses in structured knowledge.
How is TrustGraph Different?
| Traditional RAG | TrustGraph GraphRAG |
|---|---|
| Vector similarity only | Graph relationships + vectors |
| Isolated documents | Connected knowledge |
| Limited context | Rich contextual understanding |
| Prone to hallucinations | Grounded in structured data |
Key Technologies
- Knowledge Graphs: Entities and relationships extracted from documents
- GraphRAG: Graph-enhanced retrieval and generation
- Knowledge Packages: Combined graph + vector representations
- Structured Query: Natural language to GraphQL conversion
- Agent Intelligence: Contextual reasoning and transparency
Next Steps After Overview
Ready to Try It?
Head to Getting Started to deploy TrustGraph and see it in action.
Need Implementation Details?
- Task-oriented guides: How-to Guides
- API documentation: Reference
- Code examples: Examples
Want to Deploy?
Review Deployment Options for production setups.
Have Questions?
Check Getting Help for support resources.