Production RAG and Vector Memory in n8n

Equipping n8n AI agents with domain-specific knowledge requires a Retrieval-Augmented Generation (RAG) architecture. Connecting an embedding generator (OpenAI text-embedding-3 or local Ollama) to a vector store enables semantic search across internal PDF documents and company knowledge bases.