How to Add a Knowledge Base to Your N8N AI Agent (RAG Workflow Full Tutorial)

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My name is Eric Otten and I've developed automations since 2021. I am a 4-times college graduate with two Bachelor of Science in Information Technology and Finance, a Master of Science in Data Analytics, and a Master of Business Administration.

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How Knowledge Bases Work in N8N AI Automations (RAG Agent Full Tutorial)

In this full n8n AI automation tutorial, you’ll learn how knowledge bases work inside n8n using a RAG agent architecture, including how embeddings, vector databases, and retrieval augmented generation actually function in real-world AI automations. We walk through building a production-ready knowledge base with n8n and pinecone.io, covering document ingestion, semantic search, context injection, and LLM memory so your AI agents give accurate, grounded responses. This guide is designed for anyone running or building an AI agency, creating n8n AI workflows, or deploying scalable AI automations that rely on knowledge bases, RAG agents, and embeddings instead of bloated prompts or fragile logic.

Chapters
0:00 How Knowledge Bases Work
2:47 The RAG Process
5:14 Set Up Your KB
6:56 Add Your Knowledge Base in N8N

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