Apple RAG Chatbot V2

★ 6.9 · n8n · complex · 23 nodes

Apple RAG Chatbot V2 is an n8n automation template that builds a local RAG chatbot over documents stored in Google Drive using Ollama language models, keeping all data and inference on your own infrastructure. Reach for it when you need to query internal PDFs or Google Drive files and get answers grounded in their content, when company policy prohibits sending documents to external cloud APIs, or when budget rules out hosted LLM services. Trigger: webhook. Integrations: Google Drive (document source), Ollama and Lm Ollama (embeddings and response generation), Time Saved (metric tracking). The workflow is deployed as an n8n template and requires a running n8n instance alongside a locally available Ollama server. Direction — question-answering over your own documents, not crawling external websites or processing live message streams (use dedicated ingestion workflows for those). Fits teams with self-hosted infrastructure; not suitable when Ollama cannot be run locally or when an n8n server is unavailable.