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Welcome to Episode 8 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
🔗 Don't forget to subscribe & Stay Tuned for upcoming videos with more Django + Generative AI insights!
link - https://github.com/ApexIQ/GenAI_with_Django/blob/main/01__Introduction_and_steup/01_Introduction_to_Generative_AI_and_Django.ipynb
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