Practical Retrieval Augmented Generation (RAG) | Hands-On Guide to Building Smarter AI Systems

🔍 Practical Retrieval Augmented Generation (RAG) | Hands-On Guide to Building Smarter AI Systems

In this video, dive deep into the world of Retrieval Augmented Generation (RAG) — an advanced AI technique that combines the power of large language models (LLMs) with external knowledge sources to deliver accurate and context-rich responses.

🚀 What You’ll Learn:

What is RAG and why it's a game-changer in AI

How RAG architecture works: Retriever + Generator

Practical implementation using vector databases like FAISS, Pinecone, or Weaviate

Real-world use cases in customer support, document search, and knowledge assistants

Step-by-step demo: Build your own RAG-powered chatbot or Q&A system

Whether you’re an AI enthusiast, developer, or data scientist, this hands-on walkthrough will help you implement RAG for real-world applications.

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