Value proposition

Arango provides the trusted data foundation for enterprise AI through its Contextual Data Platform, transforming fragmented enterprise data into a contextual data layer that enables AI systems to operate with business context at scale.

The Arango Contextual Data Platform gives developers a single, integrated environment to build and run AI-powered applications, agents, and assistants without stitching together multiple databases, search systems, and AI infrastructure. It combines a multimodel data foundation—graph, vector, document, and key-value—with built-in search and governance capabilities. This enables AI agents to ground responses in enterprise context, navigate relationships across data types, and take reliable, state-aware actions based on real-time data.

The Arango Agentic AI Suite is the agent layer of the Arango Contextual Data Platform—connecting LLMs to governed enterprise data through contextual retrieval and tool-based execution.

It turns fragmented data into context-rich knowledge graphs using AutoGraph and multi-modal RAG pipelines (GraphRAG, VectorRAG, and HybridRAG), enabling agents to reason over relationships—not just retrieve documents.

Core capabilities include:
→ multimodal ingestion + AutoGraph for automated knowledge graph creation
→ GraphRAG and natural-language querying via AQLizer
→ Graph Visualizer for interactive exploration and explainability
→ Graph Analytics and GraphML for relationship-driven insights
→ integration with LLMs and ML tooling for agent execution

The result: context-aware, governed agent workflows that enable agents to reason, decide, and act with full business context, delivering explainable and auditable outcomes.

Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale.

We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and YouTube.

AI Data Platform, Vector Store, GenAI, GraphRAG, HybridRAG, GraphML, NetworkX, Nvidia, Agentic AI, Artificial Intelligence, LLM, Data Architecture, Data Infrastructure, AI Data Infrastructure, Data Platform, Document Store, Value StKore, Multi-model, Database, Cloud, Graph Database, Graph, AWS, Contextual Data Platform, Contextual Data Layer, Multimodel Database, Multi-model Database, Context Data Platform, Context as a Service, Knowledge Graph, AutoGraph, AutoRAG, Agentic AI Infrastructure, AutoGraph Knowledge Graph Automation, Automated Knowledge Graph Construction, Entity & Relationship Extraction, Semantic Data Modeling, Knowledge Graph Engineering, Graph-Based Reasoning Systems, Graph Visual Analytics, LLM Context Integration (Enterprise RAG grounding), Multi-Domain RAG Strategy Routing (AutoRAG), Production-grade Agentic AI Workflows, Governance-aware AI Data Layer, Explainable AI via Graph Context, Knowledge Shard / Domain Partitioning for AI, AI Agent Tooling & Orchestration, GraphML / Graph Machine Learning, Natural Language to Query Translation (AQLizer), AQL (Arango Query Language) Optimization, and Graph-Based Reasoning Systems