Memgraph

High-performance, in-memory graph database built for AI workloads with native vector indexing and Cypher support.

Overview

Memgraph is a Rust-based property graph database designed for low-latency AI and machine learning pipelines. It combines traditional graph traversal with built-in vector search, enabling seamless GraphRAG and recommendation patterns without external plugins. The engine supports real-time data synchronization, Pythonic drivers, and a growing ecosystem of AI-native extensions.

Best for

• Real-time GraphRAG prototypes requiring sub-millisecond query latency
• AI feature stores that need vector+graph co-location

Trade-offs

What XeroHack pre-wires

When you pick Memgraph in the interview, the engine emits these files into your scaffold:

• Docker one-liner with Vector Index + Cypher enabled
• Python driver with pandas/numpy native ingestion