AI Book Club: RAG with Python Cookbook
July's book is "RAG with Python Cookbook"!
This is a casual-style event. Not a structured presentation on topics. Sometimes, the discussion even drifts away from the chapters, but feel free to grab the mic to help steer it back.
Feel free to join the discussion even if you have not read the book chapters! :)
Want to discuss the contents during the reading week? Join the Flyte MLOps Slack group.
About the book: Title: RAG with Python Cookbook Authors: Dominik Polzer Published: May 2026
O'rielly platform: https://learning.oreilly.com/library/view/rag-with-python/9798341600553/
Chapters:
Getting Started with RAG
Foundation Models
Loading Data
Data Preparation
Embeddings
Vector Databases and Similarity Searches
Retrieval
Agentic RAG
Graph RAG
Evaluating RAG Systems
RAG Web Apps
Book Description As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents. Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI applications through structured hands-on learning. Author Dominik Polzer provides the tools you need to design, implement, and optimize RAG systems for your unique use cases. Whether you're working with simple data retrieval or designing cutting-edge autonomous agents, this cookbook will help you stay ahead of the curve.
Learn core RAG components including embedding, retrieval, and generation techniques Understand advanced workflows like semantic-aware chunking and multi-query prompting Build custom solutions such as chatbots and autonomous agents for specific data challenges Continuously evaluate and optimize systems for accuracy, relevance, and performance