Agentic RAG, Open LLMs, FREE Embeddings | n8n Tutorial

Alejandro AO · Beginner ·🤖 AI Agents & Automation ·2mo ago

Skills: RAG Basics90%Vector Stores80%Agent Foundations70%

Key Takeaways

Builds an agentic RAG workflow in n8n using open models, Hugging Face, embeddings, vector search, and MCP tools

Original Description

Build an agentic RAG workflow in n8n using open models, Hugging Face, embeddings, vector search, and MCP tools. In this walkthrough I show how n8n works, how to run it locally or on a VPS, how RAG has changed from old-school retrieval to agent-driven vector search, and how to build ingestion and retrieval workflows inside n8n. --- Links - n8n: https://link.alejandro-ao.com/n8n --- Topics Covered - n8n workflow automation for AI agents - Agentic RAG with vector search tools - Open models with Hugging Face and MCP --- Timestamps 00:00 - Introduction 01:33 - What is n8n 04:18 - Installing n8n 07:35 - RAG ingestion concepts 13:36 - Agentic retrieval 21:23 - Ingestion flow in n8n 32:48 - n8n agentic retrieval flow 47:43 - Observability 49:22 - Use cases and outro ## Connect with me X: https://x.com/_alejandroao LinkedIn: https://www.linkedin.com/in/alejandro-ao/

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Chapters (9)

Introduction

1:33 What is n8n

4:18 Installing n8n

7:35 RAG ingestion concepts

13:36 Agentic retrieval

21:23 Ingestion flow in n8n

32:48 n8n agentic retrieval flow

47:43 Observability

49:22 Use cases and outro

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