Build a RAG System LIVE: Python, Flask, Qdrant, MongoDB & Twilio Integration | AI Development

Join us for an exciting live coding session where we'll build a powerful Retrieval-Augmented Generation (RAG) system from scratch!
In this hands-on tutorial, we'll cover:

Setting up a Python and Flask backend
Implementing Qdrant as a vector database for efficient similarity search
Using MongoDB to store and manage user conversations
Integrating Twilio for WhatsApp communication

Whether you're a beginner or an experienced developer, this session will enhance your AI and data engineering skills. Learn how to create a versatile RAG system that combines the power of language models with external knowledge sources.
🔧 Technologies we'll use:

Python
Flask
Qdrant
MongoDB
Twilio

Don't miss this opportunity to expand your technical toolkit and stay ahead in the world of AI development!
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