# System Design
All System Design notes →Chapter 1 — Designing AI Systems: RAG & Vector Databases
Retrieval-augmented generation, vector databases, embeddings, and agent architectures as the components of an LLM-backed system design.
system-design ai-systems book
Chapter 2 — AI Infrastructure
GPU scheduling, inference serving, and model-serving architecture as the infrastructure layer underneath every AI product design.
system-design ai-systems book
Chapter 3 — AI Observability
Extending metrics, logs, and traces to LLM-specific signals — token cost, latency per generation step, and quality/hallucination drift.
system-design ai-systems book