Real-time graph reasoning
The Graph Engine for AI Context
Complement vector search with structured, connected context and traceable multi-hop reasoning across enterprise data in milliseconds.
Trusted by
AI Workloads
Connected context across your data.
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Auditability as structure.
When the agent acts, the traversed path is an inspectable trace. Alternative paths can be scored and compared. The basis for the decision is examinable through graph structure and edge scores, not through interpretation of token probabilities.
Sub-ms
Traversals
1,000+
tx/sec reads & writes
100 GB–4 TB
Graph sizes
ACID
Compliant with persistence
Graph Analytics
One engine. Two workloads.
The same in-memory architecture that powers AI context
also drives real-time graph analytics
Trusted in production
What teams are building with Memgraph
For Developers
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Fully functional Community Edition, free forever. Cypher query language, Python client libraries, LangChain and LlamaIndex integrations. Migrating from Neo4j? Familiar interfaces and protocols.
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