ArangoDB
Use Case

Arango AI Data Platform for GraphRAG

Add reasoning. Reduce hallucinations. Unlock context.

Traditional RAG retrieves documents but misses relationships. GraphRAG grounds retrieval with knowledge graphs for context and accuracy. Arango delivers native GraphRAG—uniting graph, vector, and document data in one governed, GPU-accelerated platform.

Arango AI Data Platform

The context layer: add graph-native reasoning to co-pilots and agents for explainable, context-aware AI.

AI Data Platform

Connected Knowledge

Ground LLMs in both semantic search and graph traversals for accurate answers.

Explainable AI

Trace every output back to sources with provenance and auditability.

Proactive Threat Detection

Co-pilots analyze logs and threat feeds with graph ML to predict vulnerabilities before they strike.

AI-Powered Insights

Co-pilots connect knowledge graphs to regulatory, supply chain, or patient data for real-world decision support.

Arango Data Platform

The trusted data foundation: unify vectors, graphs, and documents in one governed platform to power GraphRAG at enterprise scale.

Explore Platform

Multi-Model Integration

Fuse documents, embeddings, and relationships without brittle pipelines.

GPU Acceleration

Run PageRank, shortest paths, and traversals 11×–600× faster on large datasets with NVIDIA RAPIDS.

Scalable Retrieval

Handle billions of nodes and edges seamlessly.

Operational Visibility

Integrate CMDB and IoT data for 360° network context.

Governance & Security

Built-in lineage, compliance, and access control.

Trusted by Leaders in GraphRAG

Finite State (Cybersecurity): Uses GraphRAG to connect device firmware, supplier data, and vulnerabilities, powering explainable AI-driven risk detection.

Finite State

Healthcare Provider: Patient 360 knowledge graph with GraphRAG improved lab trend detection and optimized treatment decisions.

Proven Performance

Arango delivers throughput and scale that modern, data-driven applications can trust.

Up to 8× faster than Neo4j

Accelerates context graph queries for co-pilots and enterprise search.

1.1M JSON docs/sec sustained write throughput

Ingests large document repositories and knowledge sources in real time.

Multi-model performance gains

Unify structured data, embeddings, and relationships seamlessly.

Additional Use Cases

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Built for the Future of Enterprise Context

Ground co-pilots, improve trust, and reduce hallucinations with one trusted data platform.

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