Getting Started with TrustGraph

Welcome to TrustGraph! This section will help you get up and running quickly with TrustGraph, whether you’re exploring locally or deploying to production.

Your Path to Success

🚀 I Want to Try TrustGraph Now

Get TrustGraph running in 15 minutes

Start with our Quickstart Guide to deploy TrustGraph locally using Docker Compose, load sample documents, and run your first GraphRAG queries.

Best for: First-time users, evaluation, proof-of-concept

📚 I Want to Understand TrustGraph First

Learn the concepts before diving in

Read Core Concepts to understand knowledge graphs, GraphRAG, and how TrustGraph transforms AI agent intelligence.

Best for: Architects, decision-makers, curious learners

🛠️ I’m Ready to Deploy

Install TrustGraph in your environment

Follow the Installation Guide for detailed deployment instructions across various platforms and environments.

Best for: DevOps engineers, system administrators

🎯 I Want Hands-On Experience

Walk through common workflows

Use First Steps to learn how to interact with TrustGraph, load your own data, and query your knowledge graph.

Best for: Developers, data scientists, practitioners

What You’ll Learn

By the end of this section, you’ll be able to:

  • ✅ Deploy TrustGraph in your preferred environment
  • ✅ Understand key concepts: Knowledge Graphs, GraphRAG, Agent Intelligence
  • ✅ Load documents and build knowledge graphs
  • ✅ Query your data using GraphRAG
  • ✅ Access TrustGraph through CLI, API, and web interfaces
  • ✅ Monitor and verify your TrustGraph installation

Need Help?

Prerequisites

Before you begin, ensure you have:

  • Basic command line familiarity
  • Understanding of Docker (for local deployment)
  • Python 3.x installed
  • 8GB RAM and 4 CPU cores (recommended for local deployment)

Ready to get started? Head to the Quickstart Guide to begin your TrustGraph journey!

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