What Is RAG? From Basics to Real Systems

Retrieval Augmented Generation (RAG) is one of the most common architectures used in modern GenAI systems.

In this video, we start from first principles:
- What RAG actually is
- Why it exists
- How it works step by step
- Why it feels magical at first
- And why that magic quietly breaks as systems scale

This is NOT a prompt-engineering tutorial.
This video focuses on system design thinking behind RAG.

We’ll cover:
- The problem with LLMs and static knowledge
- Why fine-tuning doesn’t scale with changing data
- How retrieval augments generation
- What RAG is NOT (important)
- Why early RAG systems look perfect
- How scale, latency, and context start breaking things
- And why retrieval is the real bridge between data and models

This video is part of a series:
“RAG: From Basics to Production”

In the next video, we’ll go deep into:
Why RAG fails in production and where retrieval becomes the real bottleneck.

If you’re building GenAI systems, this foundation matters.
#RAG
#GenAI
#SystemDesign
#LLM
#AIArchitecture
#VectorDatabase
#RetrievalAugmentedGeneration

Видео What Is RAG? From Basics to Real Systems канала ArchitectBits