RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents Book by Dominik Polzer

Master the art of building Retrieval-Augmented Generation (RAG) systems with this comprehensive cookbook. Learn practical recipes for data preprocessing, vector embeddings, prompt engineering, and deploying intelligent LLM agents. Perfect for developers and data engineers looking to implement cutting-edge AI solutions. Dominik Polzer's hands-on guide covers real-world scenarios, best practices, and code examples to accelerate your RAG projects from concept to production.