GenAI : RAG Series (Overview of RAG, Chunking) | @vgiskill | LEC - 1

Description

In-depth RAG Masterclass Series – Build Production-Grade Retrieval-Augmented Generation in 2026 This lecture kicks off our complete RAG series — everything you need to build robust, real-world retrieval-augmented AI systems. Live walkthrough of the official LangChain documentation + real RAG thinking patterns Perfect for developers and AI engineers who want to master production-grade RAG — from basic retrieval to advanced chunking, reranking, hybrid search, agentic RAG, evaluation, and deployment. This video lays the strong foundation for the full RAG series: → Advanced chunking & embedding strategies → Multi-vector + parent-document + self-query retrievers → RAG with rerankers & query transformation → Agentic RAG & multi-agent retrieval patterns → Evaluation (RAGAS, LangSmith, A/B testing) → Production patterns, caching, observability & scaling Materials and Notebooks: https://github.com/VariPhiGen/VGI-Resources Timestamp: 00:00 : Introduction & Overview of RAG. 09:33 : Understand the RAG flow. 17:45 : Chunking Basics. 22:10 : Introduction to Chunking ( In-depth ) Comment below: What's your biggest challenge right now with RAG — chunking strategy, retrieval quality, hallucination control, agent reliability, evaluation metrics, or moving to advanced/LangGraph-based RAG? Top questions will be covered in upcoming videos! Like + Subscribe for weekly hands-on RAG & AI engineering content. 🔔 Notifications on — next deep dive in the RAG series coming very soon! 🚀