Production RAG Architecture Deep Dive
Overview
Section titled “Overview”Complete end-to-end architecture for Retrieval-Augmented Generation systems at production scale.
Architecture Components
Section titled “Architecture Components”Ingestion Pipeline
Section titled “Ingestion Pipeline”- Document processing
- Chunking strategies
- Embedding generation
- Vector indexing
Retrieval Layer
Section titled “Retrieval Layer”- Vector search
- Semantic ranking
- Filtering logic
- Result scoring
Inference Engine
Section titled “Inference Engine”- Model loading
- Prompt construction
- Token management
- Response generation
Monitoring
Section titled “Monitoring”- Performance tracking
- Quality metrics
- Cost monitoring
- User analytics
See also: Optimization Strategies | MLOps Pipeline