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Arango

Contextual data platform designed for building agentic AI applications.

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Arango is a contextual data platform that ingests fragmented enterprise data and builds a graph-native context layer for AI agents, assistants, and applications. It combines graph, vector, document, key-value, and search in one multi-model database, with automated knowledge graph building, retrieval, and governance.

Key capabilities include AutoGraph for automated knowledge graph construction, Auto Ingest and Retrieval, Deep Search, AQLizer, and pre-built MCP integrations. The platform supports GraphRAG and HybridRAG, MLOps, LLM integrations, GPU acceleration, vector embeddings and search, natural language support for AQL, and integration with co-pilots, chatbots, and agentic frameworks. Arango Visualizer provides graph exploration for business users, while the platform includes HA/DR, RBAC, SSO, OpenID integration, auditability, observability, and centralized orchestration. Deployment options include self-managed (Kubernetes, VMs, bare metal), managed cloud (AWS, GCP), and OEM/embedded for ISVs and SaaS companies.

Arango is offered in three product tiers: ArangoDB (the core multi-model database), Arango Platform Suite (adds enterprise governance, scalability, and integrations), and Arango Contextual Data Platform (adds the AI Suite with GraphRAG, MLOps, and LLM integrations). ArangoDB Community Edition is free for evaluation and non-commercial use; Enterprise Edition targets production workloads with advanced features and SLAs. The Platform Suite and Contextual Data Platform are available through request-based pricing, with managed cloud and OEM licensing options.

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