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<span>Transform raw data into interconnected context structures with ontology-driven context engineering</span>
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<spanclass="feature-item-icon">📦</span>
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<strong>Context Cores</strong>
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<span>Reusable, modular context bases that can be dynamically loaded and removed at runtime</span>
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<spanclass="feature-item-icon">🌐</span>
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<strong>3D GraphViz Visualization</strong>
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<span>Interactive three-dimensional exploration and analysis of graph relationships</span>
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<spanclass="feature-item-icon">🔍</span>
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<strong>Relationship Analysis</strong>
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<span>Deep inspection of connections and dependencies within your context bases</span>
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### Knowledge Graph Construction
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Transform enterprise data into interconnected knowledge structures that preserve relationships and context. TrustGraph automatically identifies entities, relationships, and hierarchies within your data.
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<spanclass="feature-section-icon">🤖</span>
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<h2>AI Agent Architecture</h2>
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<spanclass="feature-item-icon">👥</span>
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<strong>Single & Multi-Agent Systems</strong>
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<span>Support for various agent configurations from simple single agents to complex multi-agent orchestration</span>
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<spanclass="feature-item-icon">🔌</span>
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<strong>MCP Interoperability</strong>
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<span>Native integration with Model Context Protocol for seamless external tool connections</span>
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<spanclass="feature-item-icon">🔄</span>
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<strong>Custom Workflows</strong>
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<span>Runtime-adjustable flow creation with dynamic parameter modification</span>
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<spanclass="feature-item-icon">🎯</span>
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<strong>Intelligent Context Retrieval</strong>
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<span>Precision-grounded information extraction for highly accurate AI responses</span>
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### GraphRAG Technology
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Advanced Graph Retrieval-Augmented Generation that goes beyond traditional RAG approaches. Instead of retrieving isolated documents, GraphRAG understands the relationships between data points for more contextual responses.
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<spanclass="feature-section-icon">🔎</span>
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<h2>Query & Retrieval</h2>
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<spanclass="feature-item-icon">📊</span>
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<strong>Vector Search</strong>
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<span>Semantic similarity searching across your entire context base for contextually relevant results</span>
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<spanclass="feature-item-icon">🕸️</span>
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<strong>GraphRAG Interface</strong>
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<span>Graph-enhanced retrieval-augmented generation combining context graphs with vector search</span>
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<spanclass="feature-item-icon">💬</span>
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<strong>Direct LLM Chat</strong>
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<span>Unmediated language model interactions for flexible conversational experiences</span>
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<spanclass="feature-item-icon">🗂️</span>
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<strong>Multi-Modal Queries</strong>
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<span>Support for text, structured data, and semantic queries across different data types</span>
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<spanclass="feature-item-icon">🗣️</span>
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<strong>Natural Language to GraphQL</strong>
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<span>Converts natural language questions into structured GraphQL queries automatically</span>
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### AI Agent Intelligence
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Build sophisticated AI agents that can reason about complex relationships in your data. Agents understand not just what information exists, but how different pieces of information connect and relate to each other.
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<spanclass="feature-section-icon">⚡</span>
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<h2>Data Processing</h2>
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<spanclass="feature-item-icon">📝</span>
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<strong>OCR Pipeline Support</strong>
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<span>Built-in optical character recognition for processing documents, images, and scanned materials</span>
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<spanclass="feature-item-icon">🚀</span>
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<strong>High-Throughput Streaming</strong>
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<span>Efficient large-scale data ingestion with Apache Pulsar for real-time processing</span>
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<spanclass="feature-item-icon">✂️</span>
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<strong>Customizable Chunking</strong>
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<span>Adjustable document segmentation algorithms optimized for your data and use case</span>
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<spanclass="feature-item-icon">📄</span>
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<strong>Multi-Format Support</strong>
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<span>Process PDFs, documents, structured databases, APIs, and unstructured data sources</span>
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### Knowledge Packages
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Combine Knowledge Graphs with Vector Embeddings to create comprehensive "Knowledge Packages" that provide both structured relationships and semantic similarity search capabilities.
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<spanclass="feature-section-icon">☁️</span>
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<h2>Deployment Flexibility</h2>
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<spanclass="feature-item-icon">🌍</span>
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<strong>Multi-Cloud Support</strong>
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<span>Deploy on AWS, Azure, Google Cloud, OVHcloud, Scaleway, or any Kubernetes environment</span>
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<spanclass="feature-item-icon">🐳</span>
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<strong>Fully Containerized</strong>
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<span>Complete Docker-based deployment model for consistency across all environments</span>
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<spanclass="feature-item-icon">🏠</span>
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<strong>Run Anywhere Flexibility</strong>
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<span>From local development to on-premise data centers to enterprise cloud deployments</span>
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<spanclass="feature-item-icon">▶️</span>
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<strong>Single Command Deploy</strong>
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<span>Launch your entire agent infrastructure with docker compose in seconds</span>
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### Multi-Technology Integration
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Flexible architecture that supports integration with:
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- Multiple Large Language Models (LLMs)
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- Various vector databases
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- Different graph database systems
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- Enterprise data sources
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<h2>Integrations & Storage</h2>
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<spanclass="feature-item-icon">🔷</span>
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<strong>Multiple Graph Stores</strong>
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<span>Choose from Neo4j, Apache Cassandra, Memgraph, or FalkorDB for your graph database</span>
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<spanclass="feature-item-icon">📐</span>
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<strong>Vector Database Options</strong>
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<span>Built-in support for Qdrant (default), Pinecone, Milvus, and other vector stores</span>
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<spanclass="feature-item-icon">🧠</span>
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<strong>Multi-LLM Support</strong>
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<span>Integration with Anthropic, OpenAI, Google VertexAI, AWS Bedrock, and 40+ other providers</span>
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<spanclass="feature-item-icon">🔗</span>
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<strong>Enterprise Connectors</strong>
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<span>Pre-built connectors for databases, APIs, cloud storage, and enterprise systems</span>
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### Open Source Transparency
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Complete visibility into how your data is processed, transformed, and used by AI agents. No black boxes or vendor lock-in.
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<h2>Observability & Operations</h2>
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<strong>Prometheus & Grafana Integration</strong>
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<span>Comprehensive monitoring dashboards with pre-configured metrics and alerts</span>
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<spanclass="feature-item-icon">📡</span>
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<strong>Telemetry Tracking</strong>
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<span>Track latency, error rates, throughput, and cost metrics across your entire system</span>
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<spanclass="feature-item-icon">📋</span>
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<strong>Audit Logging</strong>
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<span>Complete audit trails for compliance, debugging, and performance analysis</span>
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<spanclass="feature-item-icon">💰</span>
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<strong>Cost Monitoring</strong>
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<span>Real-time tracking of LLM API costs, compute usage, and infrastructure expenses</span>
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## Advanced Features
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<spanclass="feature-section-icon">🔐</span>
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<h2>Enterprise Security</h2>
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<strong>Data Sovereignty</strong>
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<span>Keep your data in your chosen region or on-premise for regulatory compliance</span>
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<spanclass="feature-item-icon">🏢</span>
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<strong>Native Multi-Tenancy</strong>
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<span>Isolated namespaces, separate resource allocation, individual quota management, and security boundary enforcement per tenant</span>
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<spanclass="feature-item-icon">🔑</span>
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<strong>Access Control</strong>
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<span>Fine-grained RBAC, SSO integration, and multi-factor authentication support</span>
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<spanclass="feature-item-icon">👁️</span>
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<strong>Open Source Transparency</strong>
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<span>Full source code access for security audits and compliance verification</span>
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### Contextual Reasoning
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Agents can perform sophisticated reasoning about relationships between data points, reducing hallucinations and improving accuracy.
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### Enterprise Data Unification
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Break down data silos by connecting fragmented information across your organization into coherent knowledge systems.
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### Scalable Architecture
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Designed to handle enterprise-scale data processing and knowledge graph construction with high performance and reliability.
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### Developer-Friendly APIs
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Comprehensive APIs and SDKs for integrating TrustGraph into your applications and workflows.
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<spanclass="feature-section-icon">🛠️</span>
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<h2>Developer Tools</h2>
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<spanclass="feature-item-icon">🏗️</span>
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<strong>Configuration Builder</strong>
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<span>Assembles all selected components and builds them into a deployable package</span>
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<spanclass="feature-item-icon">📚</span>
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<strong>UI Integration Libraries</strong>
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<span>Three libraries for quick UI integration of TrustGraph services into your applications</span>
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<spanclass="feature-item-icon">🎯</span>
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<strong>Deterministic Queries</strong>
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<span>Template-driven SPARQL and vector similarity search eliminate fragile query synthesis</span>
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<spanclass="feature-item-icon">🔄</span>
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<strong>Built-in Resilience</strong>
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<span>Pulsar pipelines replay and recover automatically, keeping systems responsive during failures or rolling updates</span>
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