AI Solution Architecture Masterclass Ep4 – Knowledge Layer (Production RAG Architecture)

This video is part of the AI Solution Architecture Masterclass series.
Watch the full playlist to understand how enterprise AI systems are designed end-to-end.
📌 Full AI Solution Architecture Playlist:
https://www.youtube.com/playlist?list=PLsL9JQ2lLNZLNSc216-CM9VYdDPZvntN-

📚 Start the course here:
1. AI Solution Architecture: Masterclass The 6-Layer Framework for Production AI
https://youtu.be/295yWDwgGH4
The first one is me introducing the playlist

2.AI Solution Architecture Masterclass Ep1 – The 6 Core Layers Explained (From Demo to Production)
https://youtu.be/uqYBbIMZ48A

In this episode of the AI Solution Architecture series, I break down how to design a production-grade RAG pipeline — from data ingestion to grounded LLM answers.

Architecture Layers Covered
AI Solution Architecture Layers

Infrastructure Layer
Intelligence Layer
Knowledge Layer
Agentic Layer
Protection Layer
LLMOps & GenAIOps
Design Principles

If you’re building AI systems for production — not demos — this layer determines accuracy, cost, compliance, and trust.

This is Layer 2 of the AI Solution Architecture framework.

▶ Previous Episode
AI Solution Architecture Masterclass – AI Infrastructure Layer (Storage, Vector DB, GPUs)
https://youtu.be/XNaWPhyYHDs

▶ Next Episode
AI Solution Architecture Masterclass – Intelligence Layer (Model Selection & Fine-Tuning)
https://youtu.be/2zG5sOTXp8s

If you're serious about enterprise AI maturity, subscribe and follow the full architecture series.

— Ahmed Mahmoud
AI Solution Architect | Founder, DataMindAI

Видео AI Solution Architecture Masterclass Ep4 – Knowledge Layer (Production RAG Architecture) канала DataMindAI with Ahmed