AgentDB Semantic Vector Search Overview Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Build RAG systems, semantic search engines, and knowledge bases. SOP Framework: 5-Phase Semantic Search Phase 1: Setup Vector Database (1-2 hours) - Initialize AgentDB - Configure embedding model - Setup database schema Phase 2: Embed Documents (1-2 hours) - Process document corpus - Generate embeddings - Store vectors with metadata Phase 3: Build Search Index (1-2 hours) - Create HNSW index - Optimize search parameters - Te…