How to Build an AI Support Chatbot in n8n: RAG Knowledge Base, Memory, and Human Escalation
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 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 an n8n chatbot with memory: attach the Simple Memory sub-node to an AI Agent, scope sessions per user, and move to Postgres Chat Memory for production.
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.
Update self-hosted n8n safely: Docker Compose, Docker, and npm upgrade paths with backups, database migrations, rollback steps, and five real fixes.
n8n Code node JavaScript tutorial: master run modes, $input.all(), the { json } return format, dates, and debugging, with real errors and fixes.
Connect n8n to PostgreSQL step by step: create credentials, run Execute Query, insert, select, and update rows, and fix the five most common connection errors.
Set up n8n with Docker Compose, Postgres, and queue mode with Redis workers. Complete compose file, .env template, safe upgrades, backups, and five real fixes.
Install n8n on an Ubuntu VPS with Docker Compose, Postgres 18, and free HTTPS via Caddy. Verified against n8n 2.40.7, including the new npm deprecation warning and four real-world fixes.
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.