AgentDB Advanced Features

Sub-millisecond synchronization across distributed AgentDB instances is achieved by configuring QUIC synchronization, ensuring low-latency cross-node communication for real-time distributed AI systems. This requires Node.js 18+ and AgentDB v1.0.7+.

Hybrid search combines vector similarity with rich metadata filtering to deliver precise query results. This AgentDB feature allows complex queries that restrict vector searches using specific metadata constraints within distributed AI applications.

Yes, you can use custom distance metrics for vector search in distributed AI systems. AgentDB allows you to tailor search calculations to specific data types, extending search capabilities beyond standard distance metrics for specialized applications.

Yes, Node.js 18 or higher is required to configure multi-database management and sharding. You also need AgentDB v1.0.7 or later to organize and scale databases across multiple distributed shards effectively.

Use QUIC synchronization for multi-agent knowledge base sharing when agents require real-time data access across different servers. This approach provides sub-millisecond cross-node communication, making it ideal for distributed AI systems needing instant queries.

The best way to organize AgentDB instances across multiple databases or shards is through multi-database management. This feature allows you to scale distributed AI systems efficiently while maintaining sub-millisecond QUIC synchronization across nodes.