NornicDB Graph Database

Example Use Cases

• 1

  Persistent, queryable memory with decaying relevance.

• 2

  Integrated graph and vector search capabilities with GPU acceleration.

• 3

  Audit-oriented, versioned, and temporal graph data management.

Description

NornicDB is a graph database designed for AI agents and knowledge systems, offering Neo4j compatibility with Bolt protocol and Cypher query language. It features intelligent memory with decay, automatic relationship discovery, native vector search with GPU acceleration, and a built-in AI assistant called Heimdall. The database supports canonical graph ledger models for temporal validity and auditability, making it suitable for advanced AI, compliance, and research applications.