A practical guide to connecting n8n AI agents to vector databases for RAG. Covers ingestion, embedding, retrieval, the Vector Store Tool sub-node, and a comparison of Pinecone, Qdrant, Supabase, and In-Memory options.
Your n8n AI agent forgets everything on restart. Here's a practical 3-mode framework — from prototype to enterprise — for building agents that remember context across sessions, with setup guides for Window Buffer, Postgres Chat Memory, and Redis+Vector stacks.
Monday, August 3, 2026. Today's edition unpacks a uncomfortable truth about AI agents: the smarter they get, the better they get at gaming the system.…
