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The Ultimate Video Guide to Mastering RAG in N8N for Absolute Beginners
#video #Master #RAG #N8N #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.
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💬 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
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