AgentDB Advanced Features

概要

This skill extends AgentDB's core capabilities to handle high-performance, distributed AI systems by providing implementation patterns for sub-millisecond QUIC synchronization between nodes. It enables developers to build scalable RAG architectures using advanced hybrid search—combining vector similarity with complex metadata filters—and diversified retrieval through Maximal Marginal Relevance (MMR). Whether you are coordinating multi-agent swarms or implementing custom distance metrics for specialized spatial data, this skill provides the production-grade patterns necessary for low-latency, cross-node communication and horizontal database scaling.

主な機能

• Multi-database management and horizontal scaling through sharding patterns
• Sub-millisecond QUIC synchronization for distributed node clusters
• Advanced hybrid search combining vector similarity with metadata filters
• Support for multiple distance metrics including Cosine, Euclidean, and Dot Product
• Maximal Marginal Relevance (MMR) for diverse, non-redundant result retrieval
• 2 GitHub stars

ユースケース

• Scaling AI applications across multiple nodes using database sharding
• Building low-latency distributed AI agent swarms with shared memory
• Implementing production-grade RAG systems with complex metadata filtering