RAG Development Comprehensive knowledge base for building production-grade Retrieval-Augmented Generation systems. When to Use - Building a new RAG pipeline from scratch - Choosing chunking strategy, embedding model, or vector database - Implementing hybrid search, re-ranking, or contextual retrieval - Evaluating RAG quality with RAGAS or DeepEval - Optimizing production RAG for cost, latency, or accuracy - Designing multi-tenant RAG with access control - Upgrading from naive RAG to advanced patterns Quick Start Recommendation For 80% of use cases, start with: 1. Chunking : Recursive characte…