Project Time | This #1 AI (RAG PROJECT 🔥) we Built Will BLOW Your Mind 🤯

Want to become a Data Analyst, Data Scientist, or GenAI Engineer? Service Enquiry Form : https://www.proitbridge.com/contact-us-2/ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Enroll in Tamil Nadu’s No.1 AI Community... Led by AI Coach John, created for the Tamil community to access course materials and stay updated with future AI developments. https://whatsapp.com/channel/0029Vb7qGdr0bIdtNh4frN2M --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- In this video, we dive deep into building a production-grade RAG (Retrieval-Augmented Generation) application, explained clearly in Tamil. Whether you are a developer, AI enthusiast, data engineer, or student, these real-world use cases will show you how to design and deploy scalable AI systems using RAG to unlock powerful, context-aware applications. 🔥 What you will learn in this video: • Understanding the core concept of RAG and why it matters in modern AI applications. • Building a complete RAG pipeline with document ingestion, embedding, and retrieval. • Using vector databases to store and search knowledge efficiently. • Connecting LLMs with your own data for accurate, context-aware responses. • Designing a production-ready architecture with scalability and performance in mind. • Implementing real-world use cases like chatbots, document QA systems, and knowledge assistants. • Best practices for optimization, latency reduction, and cost efficiency. 00:00 Intro 01:50 About Session 04:08 Agenda 05:31 Demo 07:49 What is RAG ? 09:04 Prototype RAG 12:05 Limitations 14:39 Production RAG 16:48 High Level Architecture 25:34 Takeaway 27:20 Summary 👥 Who Can Watch This Video: • AI Engineers • Mach