Video course · 15 chapters · 141 min · certificate
Build Practical RAG AI Agents and Systems with n8n: Hands-On Course
A practical n8n RAG masterclass: demonstrating RAG, drag-and-drop RAG, an agent with a simple vector store, upgrading to Supabase, a pipeline with a record manager, metadata filtering, file formats, OCR, deletions, web scraping with Firecrawl, hybrid search, reranking with Cohere, contextual embeddings and advanced techniques.
What you'll learn
- Build a RAG agent in n8n
- Use Supabase as a vector store
- Avoid duplicates with a record manager
- Handle many file types, OCR and deletions
- Improve retrieval with hybrid search and reranking
- Apply contextual embeddings and advanced RAG
Chapters
15 chapters · 141:26-
3:34
01Intro Members
Masterclass intro
Practical, not theory.
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2:53
02Concepts Members
Demonstrating RAG
What RAG does.
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6:07
03Basics Members
Easy drag-and-drop RAG
Simplest approach.
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12:25
04Agent Members
RAG agent with simple vector store
n8n AI agent.
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8:46
05Supabase Members
Upgrade to Supabase
More control.
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17:09
06Ingestion Members
Record manager pipeline
Avoid duplicates.
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10:25
07Retrieval Members
Metadata filtering
Precision.
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8:09
08Formats Members
Different file formats
Beyond PDFs.
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9:09
09OCR Members
OCR for PDFs
Scanned documents.
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3:15
10Sync Members
Handling file deletions
Keeping in sync.
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17:27
11Scraping Members
Web scraping with Firecrawl
Web data.
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21:07
12Retrieval Members
Hybrid search
Keyword + vector.
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5:24
13Rerank Members
Reranking with Cohere
Order results.
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11:34
14Embeddings Members
Contextual embeddings
Chunk context.
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4:02
15Advanced Members
Agentic RAG, CAG and late chunking
More techniques.
Jobs this course suits
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