RAG Engineering — Production Retrieval-Augmented Generation
Design, build, and ship production RAG systems from first principles: document processing, chunking strategies, embedding models, vector databases, retrieval quality, query transformations, reranking, evaluation, advanced architectures, and production operations.
Course Lessons
RAG Architecture — Why, When & How It Works
Document Processing & Ingestion Pipelines
Chunking Strategies — Fixed, Semantic & Hierarchical
Embedding Models — Dense, Sparse & Late Interaction
Vector Databases — HNSW, IVF, Filtering & Production Ops
Retrieval Quality — Metrics, Evaluation & Debugging
Query Transformations — HyDE, Step-Back & Multi-Query
Reranking — Cross-Encoders, ColBERT & Contextual Compression
RAG Evaluation — RAGAS, Faithfulness & Groundedness
Advanced RAG Patterns — Agentic, Corrective & Self-RAG
Production RAG — Latency, Caching, Scaling & Cost
Enterprise RAG — Security, Compliance & Multi-Tenant