Knowledge ingestion

★ 7.1 · n8n · medium · 6 nodes

Knowledge ingestion is an n8n automation template triggered by a webhook that receives documents or text data, processes them via OpenAI, and stores structured results in Google Sheets for downstream use. Reach for it when you need to automatically load internal documents into a knowledge base, when content from multiple sources must be indexed without writing code, or when your team wants to feed a knowledge base through a simple API call. Trigger: Webhook. Integrations: OpenAI (text processing and embedding), Google Sheets (structured storage). Deployed by importing the JSON template into any n8n instance — cloud or self-hosted. The direction is ingestion and indexing of knowledge, not retrieval or answering user queries — for a conversational RAG chatbot you need a separate retrieval workflow alongside this one. Works well for teams building no-code knowledge pipelines on n8n; not a fit if a vector store like Qdrant is required, as that must be set up separately.