RAG isn't dead, it's evolved: from basic vector search to today's agentic architectures with self-correction and adaptive retrieval.
Read Galileo's new 240+ page guide for a comprehensive exploration of building advanced RAG systems that work in 2026.
You’ll learn how to:
Master chunking, embedding, and reranking strategies for your data
Optimize for the production triad: accuracy, latency, and cost
Build evaluation frameworks using retrieval and generation metrics
Navigate vector database tradeoffs across 13+ options
Implement advanced patterns like query decomposition and adaptive retrieval
*This book is brought to you by the Galileo team. We appreciate their investment in open education around retrieval, evaluation, and production AI systems, and their support of Turing Post’s mission to bring clarity to the AI landscape.