AgentDB Advanced Vector Search & Sync

关于

This skill empowers developers to architect sophisticated, distributed AI agent systems using the AgentDB platform. It provides comprehensive patterns for sub-millisecond synchronization via QUIC protocols, advanced vector search using diverse distance metrics, and hybrid search capabilities that combine semantic similarity with complex metadata filtering. Whether you are implementing horizontal scaling through database sharding or ensuring search result diversity with Maximal Marginal Relevance (MMR), this skill provides the production-ready implementation guidance and CLI operations needed for high-performance agentic workflows.

主要功能

• Hybrid search combining vector similarity with complex metadata filters
• Database sharding and multi-database management patterns
• Sub-millisecond QUIC-based multi-node synchronization
• 2 GitHub stars
• Support for Cosine, Euclidean, and Dot Product distance metrics
• Diversity-focused retrieval using Maximal Marginal Relevance (MMR)

使用场景

• Building low-latency distributed AI agent swarms across network boundaries
• Implementing complex RAG systems with advanced metadata filtering and weighting
• Scaling vector memory horizontally across multiple shards for production environments