Rag content ingestion

★ 5.8 · n8n · simple · 4 nodes

Rag content ingestion is an n8n automation template for loading and preparing content into a RAG pipeline: documents are chunked, vectorized, and placed into a knowledge base ready for LLM-agent queries. Reach for it when you need to connect corporate documents to an LLM-powered chatbot or agent, when content from multiple sources must be normalized before indexing, or when you want a one-time ingestion setup that runs on demand as new content arrives. Trigger: manual. Integrations: not specified in metadata — check the source workflow for the exact node list.