AgentDB Advanced Features

To set up QUIC synchronization for distributed database management, initialize AgentDB instances with AGENTDB_QUIC_SYNC, AGENTDB_QUIC_PORT, and AGENTDB_QUIC_PEERS environment variables to achieve sub-millisecond latency. This enables cross-node communication for distributed AI systems.

Yes, you can combine vector similarity search with metadata filtering using the hybrid search feature. Hybrid search in AgentDB provides comprehensive search capabilities for advanced AI applications by integrating custom distance metrics with metadata constraints.

The best way to scale horizontally with multi-database management is to use database sharding. This AgentDB feature manages multiple databases for different domains, optimizing performance and scalability in distributed AI systems and multi-agent coordination.

Yes, you need Node.js 18+ and AgentDB v1.0.7+ to enable custom distance metrics. These prerequisites are required to implement custom distance functions for advanced vector search applications within the distributed synchronization environment.

Yes, AgentDB supports multi-agent coordination with sub-millisecond latency. QUIC synchronization provides sub-millisecond latency synchronization between AgentDB instances across network boundaries specifically for distributed AI systems and multi-agent coordination.