AgentDB Advanced Features

Distributed synchronization for multi-node AI systems is achieved through QUIC-based sync protocols. This enables sub-millisecond updates across nodes by configuring environment variables like AGENTDB_QUIC_PEERS and starting the distributed server on each node.

Hybrid vector-metadata search combines custom distance metrics with metadata filtering across domains. You need it when standard vector search alone is insufficient for isolating concerns or coordinating complex queries across multiple databases in AI deployments.

Multi-database routing to isolate concerns is set up by configuring multi-DB management within your deployment. This routes queries across different databases to coordinate distributed synchronization and separate logical domains effectively.

Yes, you can use custom distance metrics for vector search across domains. The system implements weighted and hybrid search patterns that apply custom metrics to coordinate multi-database queries in production workflows.

Configuring fault-tolerant production deployment patterns requires setting up QUIC-enabled nodes. You must define AGENTDB_QUIC_SYNC, AGENTDB_QUIC_PORT, and AGENTDB_QUIC_PEERS, then start the distributed server on each node.