Build a Local AI Chatbot with RAG Using n8n, Ollama & Qdrant | Step-by-Step Tutorial

Description

🚀 **Learn how to build your own Local AI Agent with RAG (Retrieval-Augmented Generation)** using **n8n**, **Ollama**, **embeddinggemma**, and **Qdrant Vector Database** — no cloud or OpenAI API needed! In this **step-by-step tutorial**, you'll discover how to: ✅ Install and configure **Qdrant** for vector search ✅ Integrate **Ollama** for local LLM inference (like LLaMA 3.2, Mistral, or others) ✅ Automate workflows using **n8n**, the open-source Zapier alternative ✅ Minimize AI hallucinations by grounding responses in your own data ✅ Create a better user experience with smarter, context-aware chatbots 🔧 Whether you're building a local AI assistant, a knowledge-based chatbot, or a custom AI workflow, this guide will walk you through everything you need to know. 📂 Technologies Covered: #RAG #LocalAI #n8n #Ollama #Qdrant #Chatbot #VectorDatabase #LLM #OpenSourceAI #PrivateAI #embeddinggemma #AIWorkflow #SelfHostedAI #LangchainAlternative #AIChatbotTutorial #NoCodeAI 👉 Don't forget to **Like**, **Subscribe**, and **Comment** if you have any questions or want to see more AI build tutorials!