Arango for Enterprise AI
Make AI Work with the Right Data Foundation
Combine vector embeddings, context reasoning, multimodal ingestion, and GPU acceleration in one governed foundation for graph-based contextual AI.
Why AI Needs a Multi-Model Data Platform
AI breaks without context.
Most systems are built on fragmented stacks — separate databases, fragile pipelines, and missing connections between data and meaning. When you scale co-pilots, chatbots, or agentic apps, that fragmentation causes hallucinations, incomplete answers, and stalled workloads.
Arango solves this with a System of Context — a unified data foundation that gives AI the business context it needs to reason, retrieve, and respond accurately.
A single integrated environment that unifies multimodal and multi-model data with capabilities like Hybrid/GraphRAG, AIOps, MLOps, Graph Analytics, and GPU acceleration — transforming raw data into context and context into intelligence.
Companies trust Arango for their AI data foundation
The Framework for Enterprise AI
Arango powers the enterprise data infrastructure layer where business context lives, grounding AI in meaning so answers are accurate, explainable, and production-ready. It works with any LLM or MLOps pipeline, runs on cloud, on-prem, or VPC, and integrates seamlessly with your existing stack.
Where Arango Fits
The result: a trusted data foundation for graph-based contextual AI that scales with your business.
Build with All Your Data,
Not Just Text
Unify multi-model and multimodal data—text, images, audio, video, and logs—so models retrieve, reason, and respond with full context across every data type.
Go Beyond Retrieval with Hybrid/GraphRAG
Turn unstructured, structured, semi-structured data into a knowledge graph and query it in natural language to give your AI real-world grounding and explainable reasoning.
Optimize Performance with GPU Acceleration
Handle massive workloads and real-time queries with GPU acceleration and distributed scaling—built for production-grade AI.
What’s possible with the
Arango AI Data Platform
Graph-Based Contextual AI
GraphRAG and HybridRAG combine graphs, vectors, and documents so models reason with enterprise context—reducing hallucinations and improving accuracy.
Continuous Optimization
Monitor, retrain, and optimize models with built-in AIOps and MLOps for continuous improvement and faster iteration cycles.
Trust by design
Provenance, lineage, and data governance ensure transparency, compliance, and security for enterprise data—so AI is auditable and reliable.
Ready to build enterprise AI apps you can trust?
Start with Arango, the System of Context powering the next wave of Contextual AI.