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Welcome to Episode 10 of the Django GenAI series!

In this practical tutorial, you'll dive deep into Retrieval-Augmented Generation (RAG) within Django. Learn exactly how RAG functions, its key characteristics, and how it improves Generative AI projects.

In this session, you’ll clearly understand:

✅ What is RAG and how does it work? (Simplified explanation) ✅ Key characteristics of RAG you should know ✅ Step-by-step setup guide for Quadrant VectorDB in Django ✅ Hands-on project discussion with best practices

Who should watch?

Django & Python developers interested in Generative AI

AI/ML engineers and enthusiasts

Anyone aiming to integrate VectorDBs into their Django applications

Learners looking to build powerful AI-driven web applications

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