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Build Enterprise Agentic AI with TigerGraph

Power AI agents with connected intelligence and explainable enterprise context.

Build AI agents that understand how your business is connected. TigerGraph combines graph intelligence, hybrid retrieval, and enterprise context to power more effective agentic AI applications.

Connected enterprise intelligence
Real-time graph reasoning
Relationship-aware AI agents

Give Agentic AI Needed Connected Context

AI agents are only as effective as the context they can access. TigerGraph enables agents to reason across connected enterprise data, relationships, events, and operational systems in real time. Better context reduces unnecessary retrieval and reasoning cycles.

  • Faster decisions.
  • More reliable automation.
  • Explainable AI actions.
  • Operational AI at enterprise scale.
Generic AI Agents
  • Low context retrieval.
  • Repeated retrieval cycles.
  • Session-bound memory.
  • Limited explainability.

TigerGraph Agents

  • Relationship-aware retrieval.
  • Context-guided reasoning.
  • Adaptive agentic memory.
  • Traceable decision paths.
BUSINESS IMPACT:
  • Better AI reasoning.
  • Explainable AI outcomes.
  • More trustworthy decisions.
  • Faster operational insight.

TigerGraph combines native graph processing, vector search, and distributed scalability in a unified platform for enterprise GraphRAG applications.

AI Applications Powered by GraphRAG

Enterprise Knowledge Agents
Reason across connected documents, entities, and operational systems.
IT & Network Operations Agents
Analyze infrastructure relationships, telemetry, and incident context.
Supply Chain Operations Agents
Identify disruptions, dependencies, and operational risk.
Customer Intelligence Agents
Deliver personalized recommendations and relationship-aware engagement.
Fraud Investigation Agents
Analyze connected transactions, entities, and behavioral patterns.

How TigerGraph Accelerates Agentic AI

TigerGraph simplifies enterprise AI integration through MCP-based connectivity to scalable hybrid retrieval tools for AI agents and orchestration frameworks.

Build Connected AI Agents with TigerGraph

Create enterprise AI systems that reason over connected data, operational context, and real-world relationships. Learn more about TigerGraph's tools and features.
TigerGraph MCP Server
Let your AI build, retrieve from, and manage your TigerGraph DB.
GraphRAG and Hybrid Retrieval
Handle both graph and vector data. Gain efficiency and context from hybrid retrievals.
TigerGraph Database
Distributed parallel processing database for AI and analytics workload.
Solution Kits
Accelerate development by starting with a ready-to-go use case solution.
AI Ecosystem Integration
TigerGraph connects to popular AI frameworks and LLMs.
TigerGraph Savanna
TigerGraph DB for the cloud.
Elastic, separated storage-cloud.

Ready to Harness the Power of Connected Data?

Start your journey with TigerGraph today!