AgentDB Advanced Features

Sub-millisecond synchronization across distributed database instances is achieved using QUIC-based replication for cross-node data syncing and event broadcasting, enabling real-time multi-agent coordination without manual replication engineering.

Hybrid vector search combines vector similarity with metadata filters and weighted scoring, allowing you to retrieve ranked results using custom distance functions and metadata constraints like publication year or citation count.

Multi-database sharding and connection pooling are implemented using provided patterns for domain separation and horizontal scaling, including production-ready error handling, monitoring, and error-tolerant recovery tooling.

MMR-based diversification is needed when retrieving multiple memories to produce diverse, non-redundant results and coherent synthesized context for agent reasoning, preventing duplicate or overly similar vector search outputs.

QUIC replication works for multi-agent coordination across data centers by enabling sub-millisecond cross-node replication and event broadcasting, supporting distributed deployments like a research-paper knowledge base replicated globally.

The best way to run hybrid vector-plus-metadata retrieval with custom distance metrics is to insert documents with embeddings into a domain-specific instance and apply weighted scoring alongside custom distance functions during the vector search query.