RAG: The Complete Developer Guide

Building production Retrieval-Augmented Generation systems in 2026 — 11 chapters covering RAG architecture, document ingestion & chunking strategies, embedding models (OpenAI, Cohere & open-source), vector databases (Pinecone, Weaviate, ChromaDB, Qdrant), hybrid search & re-ranking, advanced RAG (GraphRAG, Agentic RAG, Corrective RAG), evaluation & metrics, production deployment, cost optimization, and real-world case studies.