Memgraph
The Graph Engine for AI Context
Memgraph is an in-memory graph database designed for real-time graph reasoning and analytics. It addresses the need for structured, connected context in AI systems, supporting GraphRAG, long-term AI memory, and agentic reasoning, while also handling real-time analytics workloads such as fraud detection, network analysis, data lineage, knowledge graphs, identity and access management, and supply chain modeling. It is Cypher-compatible and supports ACID transactions with on-disk persistence.
Key capabilities include the MAGE algorithm library, vector search, stream connectors for Kafka, Pulsar, and Redpanda, and integrations with LangChain and LlamaIndex alongside Python client libraries. Enterprise features include role-based and label-based access control, SSO, LDAP/PAM authentication, multi-tenancy, automatic failover, disaster recovery, query audit logging, and Prometheus monitoring.
Memgraph offers a free, open-source Community Edition for developers, a fully managed Cloud service with a free trial for prototyping and early-stage projects, and an Enterprise Edition available as AI Platform or Graph Analytics, priced based on memory capacity with a 30-day trial. An OEM/SaaS license supports embedding Memgraph within other products, and it is also available through AWS Marketplace.
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