Memgraph
AI-Platform

The Graph Engine Built for AI

The full Enterprise engine, priced for AI workloads. Unlimited vector indexes that don't count toward your licensed capacity.

The problem

AI workloads are vector-heavy. Your pricing shouldn't punish that.

AI workloads generate large vector indexes relative to graph data. Standard pricing penalizes that. The AI Platform doesn't: you pay on graph data capacity only, and vector indexes are unlimited.

Standard Enterprise

Graph data + vector indexes = licensed capacity

AI Platform

Graph data only · vector indexes unlimited

AI Workloads

One engine. Three AI workloads.

What's included

Full Enterprise. No feature gates.

The AI Platform is the complete Enterprise edition: same engine, same features, same support. Vector index storage is unlimited and excluded from licensed capacity.

Infrastructure

  • In-memory graph engine with on-disk persistence
  • ACID transactions
  • High-availability replication with automatic failover
  • No-downtime updates
  • Disaster recovery
  • Cypher query language
  • Stream connectors (Kafka, Pulsar, Redpanda)

AI-specific

  • Vector search with unlimited vector index storage
  • MAGE algorithm library (including graph-native AI algorithms)
  • Expanding AI-specific tooling as it ships

Security & compliance

  • Role-based and label-based access control
  • SSO (Entra ID, Okta, OIDC, SAML)
  • LDAP/PAM authentication
  • Multi-tenancy
  • Query audit logging
  • Prometheus monitoring
  • TLS encryption in transit

Support

  • Dedicated engineering support via Slack
  • Direct access to the team that built the engine
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