Udemy - Retrieval Augmented Generation (RAG) - From Zero to Pract...

Retrieval Augmented Generation (RAG): From Zero to Practical

https://WebToolTip.com

Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 3m | Size: 733.74 MB

Learn RAG through projects using n8n, Supabase, embeddings, vector databases, ingestion pipelines, retrieval workflows.

What you'll learn
Explain how Retrieval Augmented Generation (RAG) works, including document ingestion, retrieval, and response generation
Build RAG ingestion and retrieval pipelines using n8n.
Understand how text splitting, embedding models, vector databases, and retrievers work together.
Build and test practical RAG projects using both a simple vector store and Supabase.

Requirements
No prior experience with RAG or vector databases is required.
Basic familiarity with AI and large language models (LLMs) is helpful but not mandatory.
A basic understanding of workflows and automation is beneficial, but beginners are welcome.