Retrieval-Augmented Generation (RAG) Tutorial | Python AI Project
🔍 Build a RAG Project in Python | Retrieval-Augmented Generation Explained
Are you looking to improve your AI model’s responses by integrating real-time information retrieval? In this video, I’ll show you how to implement a Retrieval-Augmented Generation (RAG) model in Python step by step. RAG enhances large language models (LLMs) by fetching relevant external knowledge, making them more accurate and up-to-date.
🚀 What You’ll Learn:
✅ What is Retrieval-Augmented Generation (RAG)?
✅ How RAG improves AI-generated responses
✅ Implementing a RAG model in Python
🛠️ Resources:
Code: https://github.com/amitgiri-13/Intell...
Readings: https://github.com/amitgiri-13/Intell...
Get API: https://aistudio.google.com/apikey
📌 Timestamps:
00:00 Demo
00:30 What is RAG?
01:10 RAG Architecture
01:28 How does RAG work?
02:08 Setting up Environment
02:53 Implementing Retriever
04:23 Implementing Generator
05:04 Implementing Pipeline
05:28 Creating gui
05:53 Running Application
06:11 Outro
📢 Don't forget to LIKE, SHARE, and SUBSCRIBE for more AI and Python tutorials! 🚀
#RAG #Python #AI #MachineLearning #RetrievalAugmentedGeneration #PythonTutorial #LLM #ArtificialIntelligence