AgentDB Advanced Features

关于

Master the advanced features of AgentDB to build high-performance distributed AI systems with sub-millisecond cross-node communication. This skill provides expert guidance on implementing QUIC-based data synchronization, hybrid search strategies that combine vector similarity with complex metadata filtering, and diversified retrieval using Maximal Marginal Relevance (MMR). It is particularly useful for developers architecting production-grade applications that require horizontal scaling through sharding, custom distance metrics for specialized spatial or semantic data, and efficient context synthesis for high-fidelity RAG workflows.

主要功能

• Hybrid search integrating vector similarity with complex metadata filtering logic
• Sub-millisecond QUIC-based synchronization for distributed multi-agent nodes
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• Horizontal scaling through database sharding and multi-database management
• Support for multiple distance metrics including Cosine, Euclidean, and Dot Product
• Diversified result retrieval using Maximal Marginal Relevance (MMR) and context synthesis

使用场景

• Building low-latency distributed multi-agent coordination systems
• Implementing complex RAG workflows requiring diverse and highly-filtered search results
• Scaling vector search applications across multiple nodes using database sharding