Production RAG Architecture Deep Dive

Overview

Complete end-to-end architecture for Retrieval-Augmented Generation systems at production scale.


Architecture Components


Ingestion Pipeline

  • Document processing
  • Chunking strategies
  • Embedding generation
  • Vector indexing

Retrieval Layer

  • Vector search
  • Semantic ranking
  • Filtering logic
  • Result scoring

Inference Engine

  • Model loading
  • Prompt construction
  • Token management
  • Response generation

Monitoring

  • Performance tracking
  • Quality metrics
  • Cost monitoring
  • User analytics