Beginner's RAG AI Agent Tutorial with n8n, using Mistral and Pinecone (NO CODE) | FREE Setup

Beginner's RAG AI Agent Tutorial with n8n, using Mistral and Pinecone (NO CODE) | FREE Setup

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Beginner's RAG AI Agent Tutorial with n8n, using Mistral and Pinecone (NO CODE) | FREE Setup
Build your first RAG AI agent with n8n and learn the basics of RAG (Retrieval Augumented Generation). In this tutorial, we'll be building a simple RAG Agent that lets you chat with your documents. For this, we'll be using Pinecone as our vector database and Mistral for both the embeddings and chat functionality. As both services offer a free tier, you'll be able to following along and build this agent without any cost at all. 🔔 Don't forget to Subscribe for more tutorials on AI, automation, and NO-CODE solutions! Leave a comment below if you have questions or ideas for future videos. Prefer Written tutorials? Read it here 👇 https://digispruce.com/simple-beginners-ai-rag-agent-with-n8n/ Business inquiries: 📩 [email protected] ------------------------------------------------ 🛠️ Try out N8N for free: https://ln.digispruce.com/n8n 📬 How to setup Gmail credentials (Google Drive) : https://youtu.be/iAokhB-bVBw - Pinecone Vector Database: https://pinecone.io ✨ All my templates: https://digispruce.com/resources/ ☕ Ko-Fi: https://ko-fi.com/akramkadri My software and deals: 🛠️ n8n: https://ln.digispruce.com/n8n-free-trial 🖥️ Hetzner (VPS): https://ln.digispruce.com/hetzner-FREE-$20-credits 🐝 Beehiiv (Newsletter): https://ln.digispruce.com/beehiiv-30-day-free-trial 🏗️ Make: https://ln.digispruce.com/make 🛒 Payhip (webshop): https://ln.digispruce.com/payhip 📝 Obsidian: https://obsidian.md 📽️ OBS studio: https://obsproject.com Follow and connect with me: - LinkedIn: https://ln.digispruce.com/linkedin - Facebook: https://ln.digispruce.com/facebook - X: https://ln.digispruce.com/twitter-x - Instagram: https://ln.digispruce.com/instagram --------------------------------- TIMESTAMPS 00:00 Intro 00:47 Start building the data insertion feature 02:37 Create Pinecone vectore database 05:28 Setup data loader and text splitter 08:00 Insert document into Pinecone vector storage 12:39 Testing out the system 14:09 Simple explanation of RAG 16:42 Outro