Handle customer support queries with cache-first RAG using Redis, LangCache and OpenAI

About

An end-to-end Retrieval-Augmented Generation (RAG) customer support workflow for n8n, using a cache-first strategy (LangCache) combined with a Redis vector store powered by OpenAI embeddings. This template is designed for fast, accurate, and cost-efficient customer support chatbots, internal help desks, and knowledge-base assistants. Overview This workflow implements a production-ready RAG architecture optimized for customer support use cases. Incoming chat messages are processed through a s