Build an AI support chatbot in n8n: Chat Trigger, AI Agent with Simple Memory, RAG over your docs via Vector Store Retriever, plus a human escalation branch.
Build a real RAG chatbot in n8n: chunk documents, store embeddings in Qdrant, and answer questions with the Question and Answer Chain. Tested on n8n 2.41.4.
n8n vs Make for AI agents, compared head-to-head: verified builds, per-execution vs per-operation pricing math, and model freedom. Pick the right one.
Connect a vector database to n8n: insert documents into Pinecone or Qdrant with the Vector Store node, match embedding dimensions, and let an AI agent retrieve your own documents. Verified against n8n 2.40.7's node definitions and Pinecone's official n8n skill.