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