The only video you need to Master RAG in N8N (For complete beginners)

Serious about Implementing AI? Shortcut your Path HERE, and connect with +450 entrepreneurs on the same mission: https://dub.sh/scrapesai This is a comprehensive 2hr course with all the secrets I've learned about RAG, retrieval augmented generation - from 10 months of building out N8N workflows for my clients , (over 100+ workflows!). During this course we'll cover everything you need to shortcut your journey with RAG & N8N- starting with the basics for absolute beginners. 🛠️ Links (affiliate) • n8n: https://n8n.partnerlinks.io/scrapesai Sponsor enquiries: https://workspace.passionfroot.me/sim... Business enquiries: [email protected] Recording software https://refer.tella.com/simon-coton 💬 Share in the comments what you learnt during the video! 0:00:00 - Course Overview 0:02:55 - SECTION 1 - What is RAG? 0:08:24 - 1.1 - Build Out Your First RAG Agent in N8N 0:13:32 - 1.2 - Setting up our Vector DB in Supabase 0:17:20 - 1.3 - Choosing an Embeddings Model 0:20:37 - 1.4 - Chunking Strategy 0:23:51 - 1.5 - Chunking Made Easy 0:27:23 - 1.6 - Load in Data 0:30:48 - 1.7 - Setting up Data Retrieval Agent (RAG Agent) 0:38:18 - SECTION 2 - Tackle Poor Quality Retrieval 0:45:33 - 2.1 - Poor Quality Retrieval & Contextual RAG 0:51:54 - 2.2 - Implementing Contextual RAG 0:59:30 - 2.3 - Dynamic file inputs 1:04:05 - 2.4 - Adding Context to our Chunks for Better Retrieval 1:07:13 - 2.5 - It’s difficult and slow to update! 1:15:11 - SECTION 3 - How to Update Data in a RAG database 1:17:58 - 3.1 - Handle new file formats 1:29:05 - 3.2 - Find and remove old records 1:37:23 - SECTION 4 - RAG Alternatives for Faster Retrieval 1:42:17 - 4.1 - CAG in N8N with OpenAI 1:49:28 - 4.2 - CAG in N8N using Anthropic 1:54:12 - Which is the best method? #RAG #n8ntutorial #N8NBeginner