Dgraph

GraphQL-native graph database with built-in vector search and ACID transactions for modern AI applications.

Overview

Dgraph combines a distributed graph database with a native GraphQL API, allowing developers to model relationships and embeddings in a single schema. It supports hybrid graph-vector queries, full-text search, and event-driven updates, making it well-suited for dynamic knowledge graphs powering AI agents. The open-source version includes most core features, with optional managed cloud tiers.

Best for

• Frontend-heavy AI apps needing GraphQL-to-graph direct mapping
• Real-time agent memory systems requiring low-latency graph updates

Trade-offs

What XeroHack pre-wires

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

• GraphQL schema generator with vector index directives
• TypeScript/Python client with auto-sync resolvers