This book provides a comprehensive, hands-on guide to master RAG with Python. It begins with the foundations of embeddings, vector databases, and retrieval pipelines, moving into prompt engineering, hybrid search strategies, and prompt engineering strategies, like chain-of-thought and MapReduce to enhance response quality. It then covers evaluation, optimization, and agentic workflows.
Author: Deepak Dhyani