Demo RAG in n8n

★ 6.9 · n8n · medium · 12 nodes

Demo RAG in n8n is an n8n automation template that implements a basic Retrieval-Augmented Generation pipeline directly inside a chat interface. Reach for it when you want to see how RAG works without writing code from scratch, when you need to demo to a client how a chatbot answers questions over uploaded documents, or when you are prototyping an AI assistant grounded in your own data. Trigger: chat. Integrations: OpenAI. The workflow chains together nodes for receiving a user query, retrieving relevant document chunks from a vector store, and generating a contextual answer via OpenAI. It deploys as a standard n8n workflow — import the JSON into self-hosted or cloud n8n. The direction here is retrieval-augmented answer generation, not open-ended free chat with a language model (use simpler n8n chat templates for that). Suited for prototypes and demonstrations; production use with large document corpora will require adding a proper vector database connection and a document ingestion pipeline beyond what the template provides out of the box.