advanced-agentdb-vector-search-implementation

# Advanced AgentDB Vector Search Implementation ## Overview Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration for building distributed AI systems, multi-agent coordination, and advanced vector search applications. ## When to Use This Skill Use this skill when you need to: - Build distributed vector search systems - Implement multi-agent coordination with shared memory - Create custom similarity metrics for specialized domains - Deploy hybrid search combining vector and traditional methods - Scale AgentDB to production with high availability - Synchronize multiple AgentDB instances in real-time ## SOP Framework: 5-Phase Advanced Vector Search Deployment ### Phase 1: Setup AgentDB Infrastructure (2-3 hours) **Objective:** Initialize multi-database AgentDB infrastructure with proper configuration **Agent:** backend-dev **Steps:** 1. **Install AgentDB with advanced features** ```bash npm install agentdb-advanced@latest npm install @agentdb/quic-sync @agentdb/distributed ``` 2. **Initialize primary database** ```typescript import { AgentDB } from 'agentdb-advanced'; import { QUICSync } from '@agentdb/quic-sync'; const primaryDB = new AgentDB({ name: 'primary-vector-db', dimensions: 1536, // OpenAI embedding size indexType: 'hnsw', distanceMetric: 'cosine', persistPath: './data/primary', advanced: { enableQUIC: true, multiDB: true, ...